whisper.h

#ifndef WHISPER_H
#define WHISPER_H

#include <stddef.h>
#include <stdint.h>
#include <stdbool.h>

#ifdef WHISPER_SHARED
#    ifdef _WIN32
#        ifdef WHISPER_BUILD
#            define WHISPER_API __declspec(dllexport)
#        else
#            define WHISPER_API __declspec(dllimport)
#        endif
#    else
#        define WHISPER_API __attribute__ ((visibility ("default")))
#    endif
#else
#    define WHISPER_API
#endif

#define WHISPER_SAMPLE_RATE 16000
#define WHISPER_N_FFT       400
#define WHISPER_N_MEL       80
#define WHISPER_HOP_LENGTH  160
#define WHISPER_CHUNK_SIZE  30

#ifdef __cplusplus
extern "C" {
#endif

    //
    // C interface
    //
    // The following interface is thread-safe as long as the sample whisper_context is not used by multiple threads
    // concurrently.
    //
    // Basic usage:
    //
    //     #include "whisper.h"
    //
    //     ...
    //
    //     struct whisper_context * ctx = whisper_init_from_file("/path/to/ggml-base.en.bin");
    //
    //     if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
    //         fprintf(stderr, "failed to process audio\n");
    //         return 7;
    //     }
    //
    //     const int n_segments = whisper_full_n_segments(ctx);
    //     for (int i = 0; i < n_segments; ++i) {
    //         const char * text = whisper_full_get_segment_text(ctx, i);
    //         printf("%s", text);
    //     }
    //
    //     whisper_free(ctx);
    //
    //     ...
    //
    // This is a demonstration of the most straightforward usage of the library.
    // "pcmf32" contains the RAW audio data in 32-bit floating point format.
    //
    // The interface also allows for more fine-grained control over the computation, but it requires a deeper
    // understanding of how the model works.
    //

    struct whisper_context;
    struct whisper_state;
    struct whisper_full_params;

    typedef int whisper_token;

    typedef struct whisper_token_data {
        whisper_token id;  // token id
        whisper_token tid; // forced timestamp token id

        float p;           // probability of the token
        float plog;        // log probability of the token
        float pt;          // probability of the timestamp token
        float ptsum;       // sum of probabilities of all timestamp tokens

        // token-level timestamp data
        // do not use if you haven't computed token-level timestamps
        int64_t t0;        // start time of the token
        int64_t t1;        //   end time of the token

        float vlen;        // voice length of the token
    } whisper_token_data;

    typedef struct whisper_model_loader {
        void * context;

        size_t (*read)(void * ctx, void * output, size_t read_size);
        bool    (*eof)(void * ctx);
        void  (*close)(void * ctx);
    } whisper_model_loader;

    // Various functions for loading a ggml whisper model.
    // Allocate (almost) all memory needed for the model.
    // Return NULL on failure
    WHISPER_API struct whisper_context * whisper_init_from_file(const char * path_model);
    WHISPER_API struct whisper_context * whisper_init_from_buffer(void * buffer, size_t buffer_size);
    WHISPER_API struct whisper_context * whisper_init(struct whisper_model_loader * loader);

    // These are the same as the above, but the internal state of the context is not allocated automatically
    // It is the responsibility of the caller to allocate the state using whisper_init_state() (#523)
    WHISPER_API struct whisper_context * whisper_init_from_file_no_state(const char * path_model);
    WHISPER_API struct whisper_context * whisper_init_from_buffer_no_state(void * buffer, size_t buffer_size);
    WHISPER_API struct whisper_context * whisper_init_no_state(struct whisper_model_loader * loader);

    WHISPER_API struct whisper_state * whisper_init_state(struct whisper_context * ctx);

    // Given a context, enable use of OpenVINO for encode inference.
    // model_path: Optional path to OpenVINO encoder IR model. If set to nullptr,
    //                      the path will be generated from the ggml model path that was passed
    //                      in to whisper_init_from_file. For example, if 'path_model' was
    //                      "/path/to/ggml-base.en.bin", then OpenVINO IR model path will be
    //                      assumed to be "/path/to/ggml-base.en-encoder-openvino.xml".
    // device: OpenVINO device to run inference on ("CPU", "GPU", etc.)
    // cache_dir: Optional cache directory that can speed up init time, especially for
    //                     GPU, by caching compiled 'blobs' there.
    //                     Set to nullptr if not used.
    // Returns 0 on success. If OpenVINO is not enabled in build, this simply returns 1.
    WHISPER_API int whisper_ctx_init_openvino_encoder(
        struct whisper_context * ctx,
                    const char * model_path,
                    const char * device,
                    const char * cache_dir);

    // Frees all allocated memory
    WHISPER_API void whisper_free      (struct whisper_context * ctx);
    WHISPER_API void whisper_free_state(struct whisper_state * state);
    WHISPER_API void whisper_free_params(struct whisper_full_params * params);

    // Convert RAW PCM audio to log mel spectrogram.
    // The resulting spectrogram is stored inside the default state of the provided whisper context.
    // Returns 0 on success
    WHISPER_API int whisper_pcm_to_mel(
            struct whisper_context * ctx,
                       const float * samples,
                               int   n_samples,
                               int   n_threads);

    WHISPER_API int whisper_pcm_to_mel_with_state(
            struct whisper_context * ctx,
              struct whisper_state * state,
                       const float * samples,
                               int   n_samples,
                               int   n_threads);

    // Convert RAW PCM audio to log mel spectrogram but applies a Phase Vocoder to speed up the audio x2.
    // The resulting spectrogram is stored inside the default state of the provided whisper context.
    // Returns 0 on success
    WHISPER_API int whisper_pcm_to_mel_phase_vocoder(
        struct whisper_context * ctx,
                   const float * samples,
                           int   n_samples,
                           int   n_threads);

    WHISPER_API int whisper_pcm_to_mel_phase_vocoder_with_state(
        struct whisper_context * ctx,
          struct whisper_state * state,
                   const float * samples,
                           int   n_samples,
                           int   n_threads);

    // This can be used to set a custom log mel spectrogram inside the default state of the provided whisper context.
    // Use this instead of whisper_pcm_to_mel() if you want to provide your own log mel spectrogram.
    // n_mel must be 80
    // Returns 0 on success
    WHISPER_API int whisper_set_mel(
            struct whisper_context * ctx,
                       const float * data,
                               int   n_len,
                               int   n_mel);

    WHISPER_API int whisper_set_mel_with_state(
            struct whisper_context * ctx,
              struct whisper_state * state,
                       const float * data,
                               int   n_len,
                               int   n_mel);

    // Run the Whisper encoder on the log mel spectrogram stored inside the default state in the provided whisper context.
    // Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first.
    // offset can be used to specify the offset of the first frame in the spectrogram.
    // Returns 0 on success
    WHISPER_API int whisper_encode(
            struct whisper_context * ctx,
                               int   offset,
                               int   n_threads);

    WHISPER_API int whisper_encode_with_state(
            struct whisper_context * ctx,
              struct whisper_state * state,
                               int   offset,
                               int   n_threads);

    // Run the Whisper decoder to obtain the logits and probabilities for the next token.
    // Make sure to call whisper_encode() first.
    // tokens + n_tokens is the provided context for the decoder.
    // n_past is the number of tokens to use from previous decoder calls.
    // Returns 0 on success
    // TODO: add support for multiple decoders
    WHISPER_API int whisper_decode(
            struct whisper_context * ctx,
               const whisper_token * tokens,
                               int   n_tokens,
                               int   n_past,
                               int   n_threads);

    WHISPER_API int whisper_decode_with_state(
            struct whisper_context * ctx,
              struct whisper_state * state,
               const whisper_token * tokens,
                               int   n_tokens,
                               int   n_past,
                               int   n_threads);

    // Convert the provided text into tokens.
    // The tokens pointer must be large enough to hold the resulting tokens.
    // Returns the number of tokens on success, no more than n_max_tokens
    // Returns -1 on failure
    // TODO: not sure if correct
    WHISPER_API int whisper_tokenize(
            struct whisper_context * ctx,
                        const char * text,
                     whisper_token * tokens,
                               int   n_max_tokens);

    // Largest language id (i.e. number of available languages - 1)
    WHISPER_API int whisper_lang_max_id();

    // Return the id of the specified language, returns -1 if not found
    // Examples:
    //   "de" -> 2
    //   "german" -> 2
    WHISPER_API int whisper_lang_id(const char * lang);

    // Return the short string of the specified language id (e.g. 2 -> "de"), returns nullptr if not found
    WHISPER_API const char * whisper_lang_str(int id);

    // Use mel data at offset_ms to try and auto-detect the spoken language
    // Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first
    // Returns the top language id or negative on failure
    // If not null, fills the lang_probs array with the probabilities of all languages
    // The array must be whisper_lang_max_id() + 1 in size
    // ref: https://github.com/openai/whisper/blob/main/whisper/decoding.py#L18-L69
    WHISPER_API int whisper_lang_auto_detect(
            struct whisper_context * ctx,
                               int   offset_ms,
                               int   n_threads,
                             float * lang_probs);

    WHISPER_API int whisper_lang_auto_detect_with_state(
            struct whisper_context * ctx,
              struct whisper_state * state,
                               int   offset_ms,
                               int   n_threads,
                             float * lang_probs);

    WHISPER_API int whisper_n_len           (struct whisper_context * ctx); // mel length
    WHISPER_API int whisper_n_len_from_state(struct whisper_state * state); // mel length
    WHISPER_API int whisper_n_vocab         (struct whisper_context * ctx);
    WHISPER_API int whisper_n_text_ctx      (struct whisper_context * ctx);
    WHISPER_API int whisper_n_audio_ctx     (struct whisper_context * ctx);
    WHISPER_API int whisper_is_multilingual (struct whisper_context * ctx);

    WHISPER_API int whisper_model_n_vocab      (struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_audio_ctx  (struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_audio_state(struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_audio_head (struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_audio_layer(struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_text_ctx   (struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_text_state (struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_text_head  (struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_text_layer (struct whisper_context * ctx);
    WHISPER_API int whisper_model_n_mels       (struct whisper_context * ctx);
    WHISPER_API int whisper_model_ftype        (struct whisper_context * ctx);
    WHISPER_API int whisper_model_type         (struct whisper_context * ctx);

    // Token logits obtained from the last call to whisper_decode()
    // The logits for the last token are stored in the last row
    // Rows: n_tokens
    // Cols: n_vocab
    WHISPER_API float * whisper_get_logits           (struct whisper_context * ctx);
    WHISPER_API float * whisper_get_logits_from_state(struct whisper_state * state);

    // Token Id -> String. Uses the vocabulary in the provided context
    WHISPER_API const char * whisper_token_to_str(struct whisper_context * ctx, whisper_token token);
    WHISPER_API const char * whisper_model_type_readable(struct whisper_context * ctx);


    // Special tokens
    WHISPER_API whisper_token whisper_token_eot (struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_sot (struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_solm(struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_prev(struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_nosp(struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_not (struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_beg (struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_lang(struct whisper_context * ctx, int lang_id);

    // Task tokens
    WHISPER_API whisper_token whisper_token_translate (struct whisper_context * ctx);
    WHISPER_API whisper_token whisper_token_transcribe(struct whisper_context * ctx);

    // Performance information from the default state.
    WHISPER_API void whisper_print_timings(struct whisper_context * ctx);
    WHISPER_API void whisper_reset_timings(struct whisper_context * ctx);

    // Print system information
    WHISPER_API const char * whisper_print_system_info(void);

    ////////////////////////////////////////////////////////////////////////////

    // Available sampling strategies
    enum whisper_sampling_strategy {
        WHISPER_SAMPLING_GREEDY,      // similar to OpenAI's GreedyDecoder
        WHISPER_SAMPLING_BEAM_SEARCH, // similar to OpenAI's BeamSearchDecoder
    };

    // Text segment callback
    // Called on every newly generated text segment
    // Use the whisper_full_...() functions to obtain the text segments
    typedef void (*whisper_new_segment_callback)(struct whisper_context * ctx, struct whisper_state * state, int n_new, void * user_data);

    // Progress callback
    typedef void (*whisper_progress_callback)(struct whisper_context * ctx, struct whisper_state * state, int progress, void * user_data);

    // Encoder begin callback
    // If not NULL, called before the encoder starts
    // If it returns false, the computation is aborted
    typedef bool (*whisper_encoder_begin_callback)(struct whisper_context * ctx, struct whisper_state * state, void * user_data);

    // Abort callback
    // If not NULL, called before ggml computation
    // If it returns true, the computation is aborted
    typedef bool (*whisper_abort_callback)(void * user_data);

    // Logits filter callback
    // Can be used to modify the logits before sampling
    // If not NULL, called after applying temperature to logits
    typedef void (*whisper_logits_filter_callback)(
            struct whisper_context * ctx,
              struct whisper_state * state,
          const whisper_token_data * tokens,
                               int   n_tokens,
                             float * logits,
                              void * user_data);

    // Parameters for the whisper_full() function
    // If you change the order or add new parameters, make sure to update the default values in whisper.cpp:
    // whisper_full_default_params()
    struct whisper_full_params {
        enum whisper_sampling_strategy strategy;

        int n_threads;
        int n_max_text_ctx;     // max tokens to use from past text as prompt for the decoder
        int offset_ms;          // start offset in ms
        int duration_ms;        // audio duration to process in ms

        bool translate;
        bool no_context;        // do not use past transcription (if any) as initial prompt for the decoder
        bool single_segment;    // force single segment output (useful for streaming)
        bool print_special;     // print special tokens (e.g. <SOT>, <EOT>, <BEG>, etc.)
        bool print_progress;    // print progress information
        bool print_realtime;    // print results from within whisper.cpp (avoid it, use callback instead)
        bool print_timestamps;  // print timestamps for each text segment when printing realtime

        // [EXPERIMENTAL] token-level timestamps
        bool  token_timestamps; // enable token-level timestamps
        float thold_pt;         // timestamp token probability threshold (~0.01)
        float thold_ptsum;      // timestamp token sum probability threshold (~0.01)
        int   max_len;          // max segment length in characters
        bool  split_on_word;    // split on word rather than on token (when used with max_len)
        int   max_tokens;       // max tokens per segment (0 = no limit)

        // [EXPERIMENTAL] speed-up techniques
        // note: these can significantly reduce the quality of the output
        bool speed_up;          // speed-up the audio by 2x using Phase Vocoder
        bool debug_mode;        // enable debug_mode provides extra info (eg. Dump log_mel)
        int  audio_ctx;         // overwrite the audio context size (0 = use default)

        // [EXPERIMENTAL] [TDRZ] tinydiarize
        bool tdrz_enable;       // enable tinydiarize speaker turn detection

        // tokens to provide to the whisper decoder as initial prompt
        // these are prepended to any existing text context from a previous call
        const char * initial_prompt;
        const whisper_token * prompt_tokens;
        int prompt_n_tokens;

        // for auto-detection, set to nullptr, "" or "auto"
        const char * language;
        bool detect_language;

        // common decoding parameters:
        bool suppress_blank;    // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/decoding.py#L89
        bool suppress_non_speech_tokens; // ref: https://github.com/openai/whisper/blob/7858aa9c08d98f75575035ecd6481f462d66ca27/whisper/tokenizer.py#L224-L253

        float temperature;      // initial decoding temperature, ref: https://ai.stackexchange.com/a/32478
        float max_initial_ts;   // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/decoding.py#L97
        float length_penalty;   // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L267

        // fallback parameters
        // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L274-L278
        float temperature_inc;
        float entropy_thold;    // similar to OpenAI's "compression_ratio_threshold"
        float logprob_thold;
        float no_speech_thold;  // TODO: not implemented

        struct {
            int best_of;    // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L264
        } greedy;

        struct {
            int beam_size;  // ref: https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L265

            float patience; // TODO: not implemented, ref: https://arxiv.org/pdf/2204.05424.pdf
        } beam_search;

        // called for every newly generated text segment
        whisper_new_segment_callback new_segment_callback;
        void * new_segment_callback_user_data;

        // called on each progress update
        whisper_progress_callback progress_callback;
        void * progress_callback_user_data;

        // called each time before the encoder starts
        whisper_encoder_begin_callback encoder_begin_callback;
        void * encoder_begin_callback_user_data;

        // called each time before ggml computation starts
        whisper_abort_callback abort_callback;
        void * abort_callback_user_data;

        // called by each decoder to filter obtained logits
        whisper_logits_filter_callback logits_filter_callback;
        void * logits_filter_callback_user_data;
    };

    // NOTE: this function allocates memory, and it is the responsibility of the caller to free the pointer - see whisper_free_params()
    WHISPER_API struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sampling_strategy strategy);
    WHISPER_API struct whisper_full_params whisper_full_default_params(enum whisper_sampling_strategy strategy);

    // Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text
    // Not thread safe for same context
    // Uses the specified decoding strategy to obtain the text.
    WHISPER_API int whisper_full(
                struct whisper_context * ctx,
            struct whisper_full_params   params,
                           const float * samples,
                                   int   n_samples);

    WHISPER_API int whisper_full_with_state(
                struct whisper_context * ctx,
                  struct whisper_state * state,
            struct whisper_full_params   params,
                           const float * samples,
                                   int   n_samples);

    // Split the input audio in chunks and process each chunk separately using whisper_full_with_state()
    // Result is stored in the default state of the context
    // Not thread safe if executed in parallel on the same context.
    // It seems this approach can offer some speedup in some cases.
    // However, the transcription accuracy can be worse at the beginning and end of each chunk.
    WHISPER_API int whisper_full_parallel(
                struct whisper_context * ctx,
            struct whisper_full_params   params,
                           const float * samples,
                                   int   n_samples,
                                   int   n_processors);

    // Number of generated text segments
    // A segment can be a few words, a sentence, or even a paragraph.
    WHISPER_API int whisper_full_n_segments           (struct whisper_context * ctx);
    WHISPER_API int whisper_full_n_segments_from_state(struct whisper_state * state);

    // Language id associated with the context's default state
    WHISPER_API int whisper_full_lang_id(struct whisper_context * ctx);

    // Language id associated with the provided state
    WHISPER_API int whisper_full_lang_id_from_state(struct whisper_state * state);

    // Get the start and end time of the specified segment
    WHISPER_API int64_t whisper_full_get_segment_t0           (struct whisper_context * ctx, int i_segment);
    WHISPER_API int64_t whisper_full_get_segment_t0_from_state(struct whisper_state * state, int i_segment);

    WHISPER_API int64_t whisper_full_get_segment_t1           (struct whisper_context * ctx, int i_segment);
    WHISPER_API int64_t whisper_full_get_segment_t1_from_state(struct whisper_state * state, int i_segment);

    // Get whether the next segment is predicted as a speaker turn
    WHISPER_API bool whisper_full_get_segment_speaker_turn_next(struct whisper_context * ctx, int i_segment);
    WHISPER_API bool whisper_full_get_segment_speaker_turn_next_from_state(struct whisper_state * state, int i_segment);

    // Get the text of the specified segment
    WHISPER_API const char * whisper_full_get_segment_text           (struct whisper_context * ctx, int i_segment);
    WHISPER_API const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment);

    // Get number of tokens in the specified segment
    WHISPER_API int whisper_full_n_tokens           (struct whisper_context * ctx, int i_segment);
    WHISPER_API int whisper_full_n_tokens_from_state(struct whisper_state * state, int i_segment);

    // Get the token text of the specified token in the specified segment
    WHISPER_API const char * whisper_full_get_token_text           (struct whisper_context * ctx, int i_segment, int i_token);
    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);

    WHISPER_API whisper_token whisper_full_get_token_id           (struct whisper_context * ctx, int i_segment, int i_token);
    WHISPER_API whisper_token whisper_full_get_token_id_from_state(struct whisper_state * state, int i_segment, int i_token);

    // 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);
    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