531 lines
25 KiB
C
531 lines
25 KiB
C
#ifndef WHISPER_H
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#define WHISPER_H
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#include <stddef.h>
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#include <stdint.h>
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#include <stdbool.h>
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#ifdef WHISPER_SHARED
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# ifdef _WIN32
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# ifdef WHISPER_BUILD
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# define WHISPER_API __declspec(dllexport)
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# else
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# define WHISPER_API __declspec(dllimport)
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# endif
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# else
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# define WHISPER_API __attribute__ ((visibility ("default")))
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# endif
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#else
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# define WHISPER_API
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#endif
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#define WHISPER_SAMPLE_RATE 16000
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#define WHISPER_N_FFT 400
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#define WHISPER_N_MEL 80
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#define WHISPER_HOP_LENGTH 160
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#define WHISPER_CHUNK_SIZE 30
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#ifdef __cplusplus
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extern "C" {
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#endif
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//
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// C interface
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//
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// The following interface is thread-safe as long as the sample whisper_context is not used by multiple threads
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// concurrently.
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//
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// Basic usage:
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//
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// #include "whisper.h"
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//
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// ...
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//
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// struct whisper_context * ctx = whisper_init_from_file("/path/to/ggml-base.en.bin");
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//
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// if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
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// fprintf(stderr, "failed to process audio\n");
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// return 7;
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// }
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//
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// const int n_segments = whisper_full_n_segments(ctx);
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// for (int i = 0; i < n_segments; ++i) {
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// const char * text = whisper_full_get_segment_text(ctx, i);
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// printf("%s", text);
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// }
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//
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// whisper_free(ctx);
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//
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// ...
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//
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// This is a demonstration of the most straightforward usage of the library.
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// "pcmf32" contains the RAW audio data in 32-bit floating point format.
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//
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// The interface also allows for more fine-grained control over the computation, but it requires a deeper
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// understanding of how the model works.
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//
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struct whisper_context;
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struct whisper_state;
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struct whisper_full_params;
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typedef int whisper_token;
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typedef struct whisper_token_data {
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whisper_token id; // token id
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whisper_token tid; // forced timestamp token id
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float p; // probability of the token
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float plog; // log probability of the token
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float pt; // probability of the timestamp token
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float ptsum; // sum of probabilities of all timestamp tokens
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// token-level timestamp data
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// do not use if you haven't computed token-level timestamps
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int64_t t0; // start time of the token
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int64_t t1; // end time of the token
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float vlen; // voice length of the token
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} whisper_token_data;
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typedef struct whisper_model_loader {
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void * context;
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size_t (*read)(void * ctx, void * output, size_t read_size);
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bool (*eof)(void * ctx);
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void (*close)(void * ctx);
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} whisper_model_loader;
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// Various functions for loading a ggml whisper model.
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// Allocate (almost) all memory needed for the model.
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// Return NULL on failure
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WHISPER_API struct whisper_context * whisper_init_from_file(const char * path_model);
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WHISPER_API struct whisper_context * whisper_init_from_buffer(void * buffer, size_t buffer_size);
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WHISPER_API struct whisper_context * whisper_init(struct whisper_model_loader * loader);
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// These are the same as the above, but the internal state of the context is not allocated automatically
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// It is the responsibility of the caller to allocate the state using whisper_init_state() (#523)
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WHISPER_API struct whisper_context * whisper_init_from_file_no_state(const char * path_model);
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WHISPER_API struct whisper_context * whisper_init_from_buffer_no_state(void * buffer, size_t buffer_size);
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WHISPER_API struct whisper_context * whisper_init_no_state(struct whisper_model_loader * loader);
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WHISPER_API struct whisper_state * whisper_init_state(struct whisper_context * ctx);
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// Given a context, enable use of OpenVINO for encode inference.
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// model_path: Optional path to OpenVINO encoder IR model. If set to nullptr,
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// the path will be generated from the ggml model path that was passed
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// in to whisper_init_from_file. For example, if 'path_model' was
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// "/path/to/ggml-base.en.bin", then OpenVINO IR model path will be
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// assumed to be "/path/to/ggml-base.en-encoder-openvino.xml".
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// device: OpenVINO device to run inference on ("CPU", "GPU", etc.)
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// cache_dir: Optional cache directory that can speed up init time, especially for
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// GPU, by caching compiled 'blobs' there.
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// Set to nullptr if not used.
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// Returns 0 on success. If OpenVINO is not enabled in build, this simply returns 1.
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WHISPER_API int whisper_ctx_init_openvino_encoder(
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struct whisper_context * ctx,
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const char * model_path,
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const char * device,
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const char * cache_dir);
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// Frees all allocated memory
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WHISPER_API void whisper_free (struct whisper_context * ctx);
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WHISPER_API void whisper_free_state(struct whisper_state * state);
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WHISPER_API void whisper_free_params(struct whisper_full_params * params);
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// Convert RAW PCM audio to log mel spectrogram.
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// The resulting spectrogram is stored inside the default state of the provided whisper context.
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// Returns 0 on success
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WHISPER_API int whisper_pcm_to_mel(
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struct whisper_context * ctx,
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const float * samples,
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int n_samples,
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int n_threads);
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WHISPER_API int whisper_pcm_to_mel_with_state(
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struct whisper_context * ctx,
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struct whisper_state * state,
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const float * samples,
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int n_samples,
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int n_threads);
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// Convert RAW PCM audio to log mel spectrogram but applies a Phase Vocoder to speed up the audio x2.
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// The resulting spectrogram is stored inside the default state of the provided whisper context.
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// Returns 0 on success
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WHISPER_API int whisper_pcm_to_mel_phase_vocoder(
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struct whisper_context * ctx,
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const float * samples,
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int n_samples,
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int n_threads);
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WHISPER_API int whisper_pcm_to_mel_phase_vocoder_with_state(
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struct whisper_context * ctx,
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struct whisper_state * state,
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const float * samples,
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int n_samples,
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int n_threads);
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// This can be used to set a custom log mel spectrogram inside the default state of the provided whisper context.
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// Use this instead of whisper_pcm_to_mel() if you want to provide your own log mel spectrogram.
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// n_mel must be 80
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// Returns 0 on success
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WHISPER_API int whisper_set_mel(
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struct whisper_context * ctx,
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const float * data,
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int n_len,
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int n_mel);
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WHISPER_API int whisper_set_mel_with_state(
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struct whisper_context * ctx,
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struct whisper_state * state,
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const float * data,
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int n_len,
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int n_mel);
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// Run the Whisper encoder on the log mel spectrogram stored inside the default state in the provided whisper context.
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// Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first.
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// offset can be used to specify the offset of the first frame in the spectrogram.
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// Returns 0 on success
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WHISPER_API int whisper_encode(
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struct whisper_context * ctx,
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int offset,
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int n_threads);
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WHISPER_API int whisper_encode_with_state(
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struct whisper_context * ctx,
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struct whisper_state * state,
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int offset,
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int n_threads);
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// Run the Whisper decoder to obtain the logits and probabilities for the next token.
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// Make sure to call whisper_encode() first.
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// tokens + n_tokens is the provided context for the decoder.
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// n_past is the number of tokens to use from previous decoder calls.
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// Returns 0 on success
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// TODO: add support for multiple decoders
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WHISPER_API int whisper_decode(
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struct whisper_context * ctx,
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const whisper_token * tokens,
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int n_tokens,
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int n_past,
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int n_threads);
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WHISPER_API int whisper_decode_with_state(
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struct whisper_context * ctx,
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struct whisper_state * state,
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const whisper_token * tokens,
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int n_tokens,
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int n_past,
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int n_threads);
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// Convert the provided text into tokens.
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// The tokens pointer must be large enough to hold the resulting tokens.
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// Returns the number of tokens on success, no more than n_max_tokens
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// Returns -1 on failure
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// TODO: not sure if correct
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WHISPER_API int whisper_tokenize(
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struct whisper_context * ctx,
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const char * text,
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whisper_token * tokens,
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int n_max_tokens);
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// Largest language id (i.e. number of available languages - 1)
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WHISPER_API int whisper_lang_max_id();
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// Return the id of the specified language, returns -1 if not found
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// Examples:
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// "de" -> 2
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// "german" -> 2
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WHISPER_API int whisper_lang_id(const char * lang);
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// Return the short string of the specified language id (e.g. 2 -> "de"), returns nullptr if not found
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WHISPER_API const char * whisper_lang_str(int id);
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// Use mel data at offset_ms to try and auto-detect the spoken language
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// Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first
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// Returns the top language id or negative on failure
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// If not null, fills the lang_probs array with the probabilities of all languages
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// The array must be whisper_lang_max_id() + 1 in size
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// ref: https://github.com/openai/whisper/blob/main/whisper/decoding.py#L18-L69
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WHISPER_API int whisper_lang_auto_detect(
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struct whisper_context * ctx,
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int offset_ms,
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int n_threads,
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float * lang_probs);
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WHISPER_API int whisper_lang_auto_detect_with_state(
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struct whisper_context * ctx,
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struct whisper_state * state,
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int offset_ms,
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int n_threads,
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float * lang_probs);
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WHISPER_API int whisper_n_len (struct whisper_context * ctx); // mel length
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WHISPER_API int whisper_n_len_from_state(struct whisper_state * state); // mel length
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WHISPER_API int whisper_n_vocab (struct whisper_context * ctx);
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WHISPER_API int whisper_n_text_ctx (struct whisper_context * ctx);
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WHISPER_API int whisper_n_audio_ctx (struct whisper_context * ctx);
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WHISPER_API int whisper_is_multilingual (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_vocab (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_audio_ctx (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_audio_state(struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_audio_head (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_audio_layer(struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_text_ctx (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_text_state (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_text_head (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_text_layer (struct whisper_context * ctx);
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WHISPER_API int whisper_model_n_mels (struct whisper_context * ctx);
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WHISPER_API int whisper_model_ftype (struct whisper_context * ctx);
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WHISPER_API int whisper_model_type (struct whisper_context * ctx);
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// Token logits obtained from the last call to whisper_decode()
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// The logits for the last token are stored in the last row
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// Rows: n_tokens
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// Cols: n_vocab
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WHISPER_API float * whisper_get_logits (struct whisper_context * ctx);
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WHISPER_API float * whisper_get_logits_from_state(struct whisper_state * state);
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// Token Id -> String. Uses the vocabulary in the provided context
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WHISPER_API const char * whisper_token_to_str(struct whisper_context * ctx, whisper_token token);
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WHISPER_API const char * whisper_model_type_readable(struct whisper_context * ctx);
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// Special tokens
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WHISPER_API whisper_token whisper_token_eot (struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_sot (struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_solm(struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_prev(struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_nosp(struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_not (struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_beg (struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_lang(struct whisper_context * ctx, int lang_id);
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// Task tokens
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WHISPER_API whisper_token whisper_token_translate (struct whisper_context * ctx);
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WHISPER_API whisper_token whisper_token_transcribe(struct whisper_context * ctx);
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// Performance information from the default state.
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WHISPER_API void whisper_print_timings(struct whisper_context * ctx);
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WHISPER_API void whisper_reset_timings(struct whisper_context * ctx);
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// Print system information
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WHISPER_API const char * whisper_print_system_info(void);
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////////////////////////////////////////////////////////////////////////////
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// Available sampling strategies
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enum whisper_sampling_strategy {
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WHISPER_SAMPLING_GREEDY, // similar to OpenAI's GreedyDecoder
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WHISPER_SAMPLING_BEAM_SEARCH, // similar to OpenAI's BeamSearchDecoder
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};
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// Text segment callback
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// Called on every newly generated text segment
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// Use the whisper_full_...() functions to obtain the text segments
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typedef void (*whisper_new_segment_callback)(struct whisper_context * ctx, struct whisper_state * state, int n_new, void * user_data);
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// Progress callback
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typedef void (*whisper_progress_callback)(struct whisper_context * ctx, struct whisper_state * state, int progress, void * user_data);
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// Encoder begin callback
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// If not NULL, called before the encoder starts
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// If it returns false, the computation is aborted
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typedef bool (*whisper_encoder_begin_callback)(struct whisper_context * ctx, struct whisper_state * state, void * user_data);
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// Logits filter callback
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// Can be used to modify the logits before sampling
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// If not NULL, called after applying temperature to logits
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typedef void (*whisper_logits_filter_callback)(
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struct whisper_context * ctx,
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struct whisper_state * state,
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const whisper_token_data * tokens,
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int n_tokens,
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float * logits,
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void * user_data);
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// Parameters for the whisper_full() function
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// If you chnage the order or add new parameters, make sure to update the default values in whisper.cpp:
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// whisper_full_default_params()
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struct whisper_full_params {
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enum whisper_sampling_strategy strategy;
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int n_threads;
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int n_max_text_ctx; // max tokens to use from past text as prompt for the decoder
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int offset_ms; // start offset in ms
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int duration_ms; // audio duration to process in ms
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bool translate;
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bool no_context; // do not use past transcription (if any) as initial prompt for the decoder
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bool single_segment; // force single segment output (useful for streaming)
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bool print_special; // print special tokens (e.g. <SOT>, <EOT>, <BEG>, etc.)
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bool print_progress; // print progress information
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bool print_realtime; // print results from within whisper.cpp (avoid it, use callback instead)
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bool print_timestamps; // print timestamps for each text segment when printing realtime
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// [EXPERIMENTAL] token-level timestamps
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bool token_timestamps; // enable token-level timestamps
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float thold_pt; // timestamp token probability threshold (~0.01)
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float thold_ptsum; // timestamp token sum probability threshold (~0.01)
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int max_len; // max segment length in characters
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bool split_on_word; // split on word rather than on token (when used with max_len)
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int max_tokens; // max tokens per segment (0 = no limit)
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// [EXPERIMENTAL] speed-up techniques
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// note: these can significantly reduce the quality of the output
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bool speed_up; // speed-up the audio by 2x using Phase Vocoder
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int audio_ctx; // overwrite the audio context size (0 = use default)
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// [EXPERIMENTAL] [TDRZ] tinydiarize
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bool tdrz_enable; // enable tinydiarize speaker turn detection
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// tokens to provide to the whisper decoder as initial prompt
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// these are prepended to any existing text context from a previous call
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const char * initial_prompt;
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const whisper_token * prompt_tokens;
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int prompt_n_tokens;
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// for auto-detection, set to nullptr, "" or "auto"
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const char * language;
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bool detect_language;
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// common decoding parameters:
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bool suppress_blank; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/decoding.py#L89
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bool suppress_non_speech_tokens; // ref: https://github.com/openai/whisper/blob/7858aa9c08d98f75575035ecd6481f462d66ca27/whisper/tokenizer.py#L224-L253
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float temperature; // initial decoding temperature, ref: https://ai.stackexchange.com/a/32478
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float max_initial_ts; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/decoding.py#L97
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float length_penalty; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L267
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// fallback parameters
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// ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L274-L278
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float temperature_inc;
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float entropy_thold; // similar to OpenAI's "compression_ratio_threshold"
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float logprob_thold;
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float no_speech_thold; // TODO: not implemented
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struct {
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int best_of; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L264
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} greedy;
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struct {
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int beam_size; // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L265
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float patience; // TODO: not implemented, ref: https://arxiv.org/pdf/2204.05424.pdf
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} beam_search;
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// called for every newly generated text segment
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whisper_new_segment_callback new_segment_callback;
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void * new_segment_callback_user_data;
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// called on each progress update
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whisper_progress_callback progress_callback;
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void * progress_callback_user_data;
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// called each time before the encoder starts
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whisper_encoder_begin_callback encoder_begin_callback;
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void * encoder_begin_callback_user_data;
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// called by each decoder to filter obtained logits
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whisper_logits_filter_callback logits_filter_callback;
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void * logits_filter_callback_user_data;
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};
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// NOTE: this function allocates memory, and it is the responsibility of the caller to free the pointer - see whisper_free_params()
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WHISPER_API struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sampling_strategy strategy);
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WHISPER_API struct whisper_full_params whisper_full_default_params(enum whisper_sampling_strategy strategy);
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// Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text
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// Not thread safe for same context
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// Uses the specified decoding strategy to obtain the text.
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WHISPER_API int whisper_full(
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struct whisper_context * ctx,
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struct whisper_full_params params,
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const float * samples,
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int n_samples);
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WHISPER_API int whisper_full_with_state(
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struct whisper_context * ctx,
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struct whisper_state * state,
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struct whisper_full_params params,
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const float * samples,
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int n_samples);
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// Split the input audio in chunks and process each chunk separately using whisper_full_with_state()
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// Result is stored in the default state of the context
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// Not thread safe if executed in parallel on the same context.
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// It seems this approach can offer some speedup in some cases.
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// However, the transcription accuracy can be worse at the beginning and end of each chunk.
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WHISPER_API int whisper_full_parallel(
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struct whisper_context * ctx,
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struct whisper_full_params params,
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const float * samples,
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int n_samples,
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int n_processors);
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// Number of generated text segments
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// A segment can be a few words, a sentence, or even a paragraph.
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WHISPER_API int whisper_full_n_segments (struct whisper_context * ctx);
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WHISPER_API int whisper_full_n_segments_from_state(struct whisper_state * state);
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// Language id associated with the context's default state
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WHISPER_API int whisper_full_lang_id(struct whisper_context * ctx);
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// Language id associated with the provided state
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WHISPER_API int whisper_full_lang_id_from_state(struct whisper_state * state);
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// Get the start and end time of the specified segment
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WHISPER_API int64_t whisper_full_get_segment_t0 (struct whisper_context * ctx, int i_segment);
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WHISPER_API int64_t whisper_full_get_segment_t0_from_state(struct whisper_state * state, int i_segment);
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WHISPER_API int64_t whisper_full_get_segment_t1 (struct whisper_context * ctx, int i_segment);
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WHISPER_API int64_t whisper_full_get_segment_t1_from_state(struct whisper_state * state, int i_segment);
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|
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// Get whether the next segment is predicted as a speaker turn
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WHISPER_API bool whisper_full_get_segment_speaker_turn_next(struct whisper_context * ctx, int i_segment);
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|
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// Get the text of the specified segment
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WHISPER_API const char * whisper_full_get_segment_text (struct whisper_context * ctx, int i_segment);
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WHISPER_API const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment);
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|
|
|
// Get number of tokens in the specified segment
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|
WHISPER_API int whisper_full_n_tokens (struct whisper_context * ctx, int i_segment);
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|
WHISPER_API int whisper_full_n_tokens_from_state(struct whisper_state * state, int i_segment);
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|
|
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// Get the token text of the specified token in the specified segment
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|
WHISPER_API const char * whisper_full_get_token_text (struct whisper_context * ctx, int i_segment, int i_token);
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WHISPER_API const char * whisper_full_get_token_text_from_state(struct whisper_context * ctx, struct whisper_state * state, int i_segment, int i_token);
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|
|
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WHISPER_API whisper_token whisper_full_get_token_id (struct whisper_context * ctx, int i_segment, int i_token);
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|
WHISPER_API whisper_token whisper_full_get_token_id_from_state(struct whisper_state * state, int i_segment, int i_token);
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|
|
|
// Get token data for the specified token in the specified segment
|
|
// This contains probabilities, timestamps, etc.
|
|
WHISPER_API whisper_token_data whisper_full_get_token_data (struct whisper_context * ctx, int i_segment, int i_token);
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|
WHISPER_API whisper_token_data whisper_full_get_token_data_from_state(struct whisper_state * state, int i_segment, int i_token);
|
|
|
|
// Get the probability of the specified token in the specified segment
|
|
WHISPER_API float whisper_full_get_token_p (struct whisper_context * ctx, int i_segment, int i_token);
|
|
WHISPER_API float whisper_full_get_token_p_from_state(struct whisper_state * state, int i_segment, int i_token);
|
|
|
|
////////////////////////////////////////////////////////////////////////////
|
|
|
|
// Temporary helpers needed for exposing ggml interface
|
|
|
|
WHISPER_API int whisper_bench_memcpy (int n_threads);
|
|
WHISPER_API const char * whisper_bench_memcpy_str (int n_threads);
|
|
WHISPER_API int whisper_bench_ggml_mul_mat (int n_threads);
|
|
WHISPER_API const char * whisper_bench_ggml_mul_mat_str(int n_threads);
|
|
|
|
// Control logging output; default behavior is to print to stderr
|
|
|
|
typedef void (*whisper_log_callback)(const char * line);
|
|
WHISPER_API void whisper_set_log_callback(whisper_log_callback callback);
|
|
|
|
#ifdef __cplusplus
|
|
}
|
|
#endif
|
|
|
|
#endif
|