whisper : support speaker segmentation (local diarization) of mono audio via tinydiarize (#1058)

* add HuggingFace mirror to download ggml model

* support tdrz via simple hack overriding solm tokens

* fix incorrect translate/transcribe token_ids that are not static const

* add apollo 13 sample for tdrz demo

* render [SPEAKER TURN] consistently in all terminal output using vocab.id_to_token

* extend whisper_segment with speaker_turn_next field and save in json output

* fix failing go build

* slipped in some python syntax whoops

* whisper : finalize tinydiarize support (add flag + fixes)

* whisper : tdrz support for word-level timestamps (respect max_len)

* java : try to fix tests after adding tdrz_enable flag

* main : remove TODO leftover

* java : fix params order list after adding "tdrz_enable"

* whisper : fix solm and add nosp token

* main : print tinydiarize help

---------

Co-authored-by: Georgi Gerganov <[email protected]>

Makefile

@@ -308,12 +308,16 @@ samples:
 	@wget --quiet --show-progress -O samples/gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
 	@wget --quiet --show-progress -O samples/hp0.ogg https://upload.wikimedia.org/wikipedia/en/d/d4/En.henryfphillips.ogg
 	@wget --quiet --show-progress -O samples/mm1.wav https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav
+	@wget --quiet --show-progress -O samples/a13.mp3 https://upload.wikimedia.org/wikipedia/commons/transcoded/6/6f/Apollo13-wehaveaproblem.ogg/Apollo13-wehaveaproblem.ogg.mp3
 	@echo "Converting to 16-bit WAV ..."
 	@ffmpeg -loglevel -0 -y -i samples/gb0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb0.wav
 	@ffmpeg -loglevel -0 -y -i samples/gb1.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb1.wav
 	@ffmpeg -loglevel -0 -y -i samples/hp0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/hp0.wav
+	@rm samples/*.ogg
 	@ffmpeg -loglevel -0 -y -i samples/mm1.wav -ar 16000 -ac 1 -c:a pcm_s16le samples/mm0.wav
 	@rm samples/mm1.wav
+	@ffmpeg -loglevel -0 -y -i samples/a13.mp3 -ar 16000 -ac 1 -c:a pcm_s16le -ss 00:00:00 -to 00:00:30 samples/a13.wav
+	@rm samples/a13.mp3
 
 #
 # Models

bindings/go/whisper.go

@@ -270,13 +270,13 @@ func (ctx *Context) Whisper_token_lang(lang_id int) Token {
 }
 
 // Task tokens
-func Whisper_token_translate() Token {
-	return Token(C.whisper_token_translate())
+func (ctx *Context) Whisper_token_translate() Token {
+	return Token(C.whisper_token_translate((*C.struct_whisper_context)(ctx)))
 }
 
 // Task tokens
-func Whisper_token_transcribe() Token {
-	return Token(C.whisper_token_transcribe())
+func (ctx *Context) Whisper_token_transcribe() Token {
+	return Token(C.whisper_token_transcribe((*C.struct_whisper_context)(ctx)))
 }
 
 // Performance information

bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperCppJnaLibrary.java

@@ -224,8 +224,8 @@ public interface WhisperCppJnaLibrary extends Library {
     int whisper_token_lang(Pointer ctx, int lang_id);
 
     // Task tokens
-    int whisper_token_translate();
-    int whisper_token_transcribe();
+    int whisper_token_translate (Pointer ctx);
+    int whisper_token_transcribe(Pointer ctx);
 
     // Performance information from the default state.
     void whisper_print_timings(Pointer ctx);

bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperFullParams.java

@@ -137,6 +137,14 @@ public class WhisperFullParams extends Structure {
     /** Overwrite the audio context size (0 = use default). */
     public int audio_ctx;
 
+    /** Enable tinydiarize (default = false) */
+    public CBool tdrz_enable;
+
+    /** Enable tinydiarize (default = false) */
+    public void tdrzEnable(boolean enable) {
+        tdrz_enable = enable ? CBool.TRUE : CBool.FALSE;
+    }
+
     /** Tokens to provide to the whisper decoder as an initial prompt.
      * These are prepended to any existing text context from a previous call. */
     public String initial_prompt;
@@ -302,7 +310,7 @@ public class WhisperFullParams extends Structure {
                 "no_context", "single_segment",
                 "print_special", "print_progress", "print_realtime", "print_timestamps",  "token_timestamps",
                 "thold_pt", "thold_ptsum", "max_len", "split_on_word", "max_tokens", "speed_up", "audio_ctx",
-                "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
+                "tdrz_enable", "initial_prompt", "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
                 "suppress_blank", "suppress_non_speech_tokens", "temperature", "max_initial_ts", "length_penalty",
                 "temperature_inc", "entropy_thold", "logprob_thold", "no_speech_thold", "greedy", "beam_search",
                 "new_segment_callback", "new_segment_callback_user_data",

examples/main/main.cpp

@@ -68,28 +68,32 @@ struct whisper_params {
     float entropy_thold =  2.40f;
     float logprob_thold = -1.00f;
 
-    bool speed_up       = false;
-    bool translate      = false;
-    bool detect_language= false;
-    bool diarize        = false;
-    bool split_on_word  = false;
-    bool no_fallback    = false;
-    bool output_txt     = false;
-    bool output_vtt     = false;
-    bool output_srt     = false;
-    bool output_wts     = false;
-    bool output_csv     = false;
-    bool output_jsn     = false;
-    bool output_lrc     = false;
-    bool print_special  = false;
-    bool print_colors   = false;
-    bool print_progress = false;
-    bool no_timestamps  = false;
-
-    std::string language = "en";
+    bool speed_up        = false;
+    bool translate       = false;
+    bool detect_language = false;
+    bool diarize         = false;
+    bool tinydiarize     = false;
+    bool split_on_word   = false;
+    bool no_fallback     = false;
+    bool output_txt      = false;
+    bool output_vtt      = false;
+    bool output_srt      = false;
+    bool output_wts      = false;
+    bool output_csv      = false;
+    bool output_jsn      = false;
+    bool output_lrc      = false;
+    bool print_special   = false;
+    bool print_colors    = false;
+    bool print_progress  = false;
+    bool no_timestamps   = false;
+
+    std::string language  = "en";
     std::string prompt;
     std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
-    std::string model    = "models/ggml-base.en.bin";
+    std::string model     = "models/ggml-base.en.bin";
+
+    // [TDRZ] speaker turn string
+    std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
 
     std::vector<std::string> fname_inp = {};
     std::vector<std::string> fname_out = {};
@@ -115,41 +119,42 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
             whisper_print_usage(argc, argv, params);
             exit(0);
         }
-        else if (arg == "-t"    || arg == "--threads")        { params.n_threads      = std::stoi(argv[++i]); }
-        else if (arg == "-p"    || arg == "--processors")     { params.n_processors   = std::stoi(argv[++i]); }
-        else if (arg == "-ot"   || arg == "--offset-t")       { params.offset_t_ms    = std::stoi(argv[++i]); }
-        else if (arg == "-on"   || arg == "--offset-n")       { params.offset_n       = std::stoi(argv[++i]); }
-        else if (arg == "-d"    || arg == "--duration")       { params.duration_ms    = std::stoi(argv[++i]); }
-        else if (arg == "-mc"   || arg == "--max-context")    { params.max_context    = std::stoi(argv[++i]); }
-        else if (arg == "-ml"   || arg == "--max-len")        { params.max_len        = std::stoi(argv[++i]); }
-        else if (arg == "-bo"   || arg == "--best-of")        { params.best_of        = std::stoi(argv[++i]); }
-        else if (arg == "-bs"   || arg == "--beam-size")      { params.beam_size      = std::stoi(argv[++i]); }
-        else if (arg == "-wt"   || arg == "--word-thold")     { params.word_thold     = std::stof(argv[++i]); }
-        else if (arg == "-et"   || arg == "--entropy-thold")  { params.entropy_thold  = std::stof(argv[++i]); }
-        else if (arg == "-lpt"  || arg == "--logprob-thold")  { params.logprob_thold  = std::stof(argv[++i]); }
-        else if (arg == "-su"   || arg == "--speed-up")       { params.speed_up       = true; }
-        else if (arg == "-tr"   || arg == "--translate")      { params.translate      = true; }
-        else if (arg == "-di"   || arg == "--diarize")        { params.diarize        = true; }
-        else if (arg == "-sow"  || arg == "--split-on-word")  { params.split_on_word  = true; }
-        else if (arg == "-nf"   || arg == "--no-fallback")    { params.no_fallback    = true; }
-        else if (arg == "-otxt" || arg == "--output-txt")     { params.output_txt     = true; }
-        else if (arg == "-ovtt" || arg == "--output-vtt")     { params.output_vtt     = true; }
-        else if (arg == "-osrt" || arg == "--output-srt")     { params.output_srt     = true; }
-        else if (arg == "-owts" || arg == "--output-words")   { params.output_wts     = true; }
-        else if (arg == "-olrc" || arg == "--output-lrc")     { params.output_lrc     = true; }
-        else if (arg == "-fp"   || arg == "--font-path")      { params.font_path      = argv[++i]; }
-        else if (arg == "-ocsv" || arg == "--output-csv")     { params.output_csv     = true; }
-        else if (arg == "-oj"   || arg == "--output-json")    { params.output_jsn     = true; }
-        else if (arg == "-of"   || arg == "--output-file")    { params.fname_out.emplace_back(argv[++i]); }
-        else if (arg == "-ps"   || arg == "--print-special")  { params.print_special  = true; }
-        else if (arg == "-pc"   || arg == "--print-colors")   { params.print_colors   = true; }
-        else if (arg == "-pp"   || arg == "--print-progress") { params.print_progress = true; }
-        else if (arg == "-nt"   || arg == "--no-timestamps")  { params.no_timestamps  = true; }
-        else if (arg == "-l"    || arg == "--language")       { params.language       = argv[++i]; }
-        else if (arg == "-dl"   || arg == "--detect-language"){ params.detect_language= true; }
-        else if (                  arg == "--prompt")         { params.prompt         = argv[++i]; }
-        else if (arg == "-m"    || arg == "--model")          { params.model          = argv[++i]; }
-        else if (arg == "-f"    || arg == "--file")           { params.fname_inp.emplace_back(argv[++i]); }
+        else if (arg == "-t"    || arg == "--threads")         { params.n_threads       = std::stoi(argv[++i]); }
+        else if (arg == "-p"    || arg == "--processors")      { params.n_processors    = std::stoi(argv[++i]); }
+        else if (arg == "-ot"   || arg == "--offset-t")        { params.offset_t_ms     = std::stoi(argv[++i]); }
+        else if (arg == "-on"   || arg == "--offset-n")        { params.offset_n        = std::stoi(argv[++i]); }
+        else if (arg == "-d"    || arg == "--duration")        { params.duration_ms     = std::stoi(argv[++i]); }
+        else if (arg == "-mc"   || arg == "--max-context")     { params.max_context     = std::stoi(argv[++i]); }
+        else if (arg == "-ml"   || arg == "--max-len")         { params.max_len         = std::stoi(argv[++i]); }
+        else if (arg == "-bo"   || arg == "--best-of")         { params.best_of         = std::stoi(argv[++i]); }
+        else if (arg == "-bs"   || arg == "--beam-size")       { params.beam_size       = std::stoi(argv[++i]); }
+        else if (arg == "-wt"   || arg == "--word-thold")      { params.word_thold      = std::stof(argv[++i]); }
+        else if (arg == "-et"   || arg == "--entropy-thold")   { params.entropy_thold   = std::stof(argv[++i]); }
+        else if (arg == "-lpt"  || arg == "--logprob-thold")   { params.logprob_thold   = std::stof(argv[++i]); }
+        else if (arg == "-su"   || arg == "--speed-up")        { params.speed_up        = true; }
+        else if (arg == "-tr"   || arg == "--translate")       { params.translate       = true; }
+        else if (arg == "-di"   || arg == "--diarize")         { params.diarize         = true; }
+        else if (arg == "-tdrz" || arg == "--tinydiarize")     { params.tinydiarize     = true; }
+        else if (arg == "-sow"  || arg == "--split-on-word")   { params.split_on_word   = true; }
+        else if (arg == "-nf"   || arg == "--no-fallback")     { params.no_fallback     = true; }
+        else if (arg == "-otxt" || arg == "--output-txt")      { params.output_txt      = true; }
+        else if (arg == "-ovtt" || arg == "--output-vtt")      { params.output_vtt      = true; }
+        else if (arg == "-osrt" || arg == "--output-srt")      { params.output_srt      = true; }
+        else if (arg == "-owts" || arg == "--output-words")    { params.output_wts      = true; }
+        else if (arg == "-olrc" || arg == "--output-lrc")      { params.output_lrc      = true; }
+        else if (arg == "-fp"   || arg == "--font-path")       { params.font_path       = argv[++i]; }
+        else if (arg == "-ocsv" || arg == "--output-csv")      { params.output_csv      = true; }
+        else if (arg == "-oj"   || arg == "--output-json")     { params.output_jsn      = true; }
+        else if (arg == "-of"   || arg == "--output-file")     { params.fname_out.emplace_back(argv[++i]); }
+        else if (arg == "-ps"   || arg == "--print-special")   { params.print_special   = true; }
+        else if (arg == "-pc"   || arg == "--print-colors")    { params.print_colors    = true; }
+        else if (arg == "-pp"   || arg == "--print-progress")  { params.print_progress  = true; }
+        else if (arg == "-nt"   || arg == "--no-timestamps")   { params.no_timestamps   = true; }
+        else if (arg == "-l"    || arg == "--language")        { params.language        = argv[++i]; }
+        else if (arg == "-dl"   || arg == "--detect-language") { params.detect_language = true; }
+        else if (                  arg == "--prompt")          { params.prompt          = argv[++i]; }
+        else if (arg == "-m"    || arg == "--model")           { params.model           = argv[++i]; }
+        else if (arg == "-f"    || arg == "--file")            { params.fname_inp.emplace_back(argv[++i]); }
         else {
             fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
             whisper_print_usage(argc, argv, params);
@@ -182,6 +187,7 @@ void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & para
     fprintf(stderr, "  -su,       --speed-up          [%-7s] speed up audio by x2 (reduced accuracy)\n",        params.speed_up ? "true" : "false");
     fprintf(stderr, "  -tr,       --translate         [%-7s] translate from source language to english\n",      params.translate ? "true" : "false");
     fprintf(stderr, "  -di,       --diarize           [%-7s] stereo audio diarization\n",                       params.diarize ? "true" : "false");
+    fprintf(stderr, "  -tdrz,     --tinydiarize       [%-7s] enable tinydiarize (requires a tdrz model)\n",     params.tinydiarize ? "true" : "false");
     fprintf(stderr, "  -nf,       --no-fallback       [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
     fprintf(stderr, "  -otxt,     --output-txt        [%-7s] output result in a text file\n",                   params.output_txt ? "true" : "false");
     fprintf(stderr, "  -ovtt,     --output-vtt        [%-7s] output result in a vtt file\n",                    params.output_vtt ? "true" : "false");
@@ -297,6 +303,12 @@ void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper
             printf("%s%s", speaker.c_str(), text);
         }
 
+        if (params.tinydiarize) {
+            if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
+                printf("%s", params.tdrz_speaker_turn.c_str());
+            }
+        }
+
         // with timestamps or speakers: each segment on new line
         if (!params.no_timestamps || params.diarize) {
             printf("\n");
@@ -564,6 +576,7 @@ bool output_json(struct whisper_context * ctx, const char * fname, const whisper
             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);
+
                 const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
                 const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
 
@@ -576,11 +589,15 @@ bool output_json(struct whisper_context * ctx, const char * fname, const whisper
                         value_i("from", t0 * 10, false);
                         value_i("to", t1 * 10, true);
                     end_obj(false);
-                    value_s("text", text, !params.diarize);
+                    value_s("text", text, !params.diarize && !params.tinydiarize);
 
                     if (params.diarize && pcmf32s.size() == 2) {
                         value_s("speaker", estimate_diarization_speaker(pcmf32s, t0, t1, true).c_str(), true);
                     }
+
+                    if (params.tinydiarize) {
+                        value_b("speaker_turn_next", whisper_full_get_segment_speaker_turn_next(ctx, i), true);
+                    }
                 end_obj(i == (n_segments - 1));
             }
 
@@ -777,6 +794,12 @@ int main(int argc, char ** argv) {
         exit(0);
     }
 
+    if (params.diarize && params.tinydiarize) {
+        fprintf(stderr, "error: cannot use both --diarize and --tinydiarize\n");
+        whisper_print_usage(argc, argv, params);
+        exit(0);
+    }
+
     // whisper init
 
     struct whisper_context * ctx = whisper_init_from_file(params.model.c_str());
@@ -818,11 +841,12 @@ int main(int argc, char ** argv) {
             if (params.detect_language) {
                 params.language = "auto";
             }
-            fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d ...\n",
+            fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, %stimestamps = %d ...\n",
                     __func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
                     params.n_threads, params.n_processors,
                     params.language.c_str(),
                     params.translate ? "translate" : "transcribe",
+                    params.tinydiarize ? "tdrz = 1, " : "",
                     params.no_timestamps ? 0 : 1);
 
             fprintf(stderr, "\n");
@@ -853,6 +877,8 @@ int main(int argc, char ** argv) {
 
             wparams.speed_up         = params.speed_up;
 
+            wparams.tdrz_enable      = params.tinydiarize; // [TDRZ]
+
             wparams.initial_prompt   = params.prompt.c_str();
 
             wparams.greedy.best_of        = params.best_of;

models/download-ggml-model.sh

@@ -22,7 +22,7 @@ function get_script_path() {
 models_path="$(get_script_path)"
 
 # Whisper models
-models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large" )
+models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small.en-tdrz" "small" "medium.en" "medium" "large-v1" "large" )
 
 # list available models
 function list_models {
@@ -50,6 +50,12 @@ if [[ ! " ${models[@]} " =~ " ${model} " ]]; then
     exit 1
 fi
 
+# check if model contains `tdrz` and update the src and pfx accordingly
+if [[ $model == *"tdrz"* ]]; then
+    src="https://huggingface.co/akashmjn/tinydiarize-whisper.cpp"
+    pfx="resolve/main/ggml"
+fi
+
 # download ggml model
 
 printf "Downloading ggml model $model from '$src' ...\n"

whisper.cpp

@@ -380,16 +380,18 @@ struct whisper_vocab {
     std::map<token, id> token_to_id;
     std::map<id, token> id_to_token;
 
-    id token_eot  = 50256;
-    id token_sot  = 50257;
-    id token_prev = 50360;
-    id token_solm = 50361; // ??
-    id token_not  = 50362; // no timestamps
-    id token_beg  = 50363;
-
-    // available tasks
-    static const id token_translate  = 50358;
-    static const id token_transcribe = 50359;
+    // reference: https://github.com/openai/whisper/blob/248b6cb124225dd263bb9bd32d060b6517e067f8/whisper/tokenizer.py#L334-L349
+    id token_eot        = 50256;
+    id token_sot        = 50257;
+    // task tokens (used only for multilingual models)
+    id token_translate  = 50357;
+    id token_transcribe = 50358;
+    // other special tokens
+    id token_solm       = 50359; // [TDRZ] used by tinydiarize models to indicate speaker turn
+    id token_prev       = 50360;
+    id token_nosp       = 50361;
+    id token_not        = 50362; // no timestamps
+    id token_beg        = 50363; // begin timestamps
 
     bool is_multilingual() const {
         return n_vocab == 51865;
@@ -403,6 +405,8 @@ struct whisper_segment {
     std::string text;
 
     std::vector<whisper_token_data> tokens;
+
+    bool speaker_turn_next;
 };
 
 // medium
@@ -966,8 +970,11 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con
         if (vocab.is_multilingual()) {
             vocab.token_eot++;
             vocab.token_sot++;
-            vocab.token_prev++;
+            vocab.token_translate++;
+            vocab.token_transcribe++;
             vocab.token_solm++;
+            vocab.token_prev++;
+            vocab.token_nosp++;
             vocab.token_not++;
             vocab.token_beg++;
         }
@@ -981,8 +988,12 @@ static bool whisper_model_load(struct whisper_model_loader * loader, whisper_con
                     word = "[_EOT_]";
                 } else if (i == vocab.token_sot) {
                     word = "[_SOT_]";
+                } else if (i == vocab.token_solm) {
+                    word = "[_SOLM_]";
                 } else if (i == vocab.token_prev) {
                     word = "[_PREV_]";
+                } else if (i == vocab.token_nosp) {
+                    word = "[_NOSP_]";
                 } else if (i == vocab.token_not) {
                     word = "[_NOT_]";
                 } else if (i == vocab.token_beg) {
@@ -3208,12 +3219,16 @@ whisper_token whisper_token_sot(struct whisper_context * ctx) {
     return ctx->vocab.token_sot;
 }
 
+whisper_token whisper_token_solm(struct whisper_context * ctx) {
+    return ctx->vocab.token_solm;
+}
+
 whisper_token whisper_token_prev(struct whisper_context * ctx) {
     return ctx->vocab.token_prev;
 }
 
-whisper_token whisper_token_solm(struct whisper_context * ctx) {
-    return ctx->vocab.token_solm;
+whisper_token whisper_token_nosp(struct whisper_context * ctx) {
+    return ctx->vocab.token_nosp;
 }
 
 whisper_token whisper_token_not(struct whisper_context * ctx) {
@@ -3228,12 +3243,12 @@ whisper_token whisper_token_lang(struct whisper_context * ctx, int lang_id) {
     return whisper_token_sot(ctx) + 1 + lang_id;
 }
 
-whisper_token whisper_token_translate(void) {
-    return whisper_vocab::token_translate;
+whisper_token whisper_token_translate(struct whisper_context * ctx) {
+    return ctx->vocab.token_translate;
 }
 
-whisper_token whisper_token_transcribe(void) {
-    return whisper_vocab::token_transcribe;
+whisper_token whisper_token_transcribe(struct whisper_context * ctx) {
+    return ctx->vocab.token_transcribe;
 }
 
 void whisper_print_timings(struct whisper_context * ctx) {
@@ -3305,51 +3320,53 @@ struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sam
 
 struct whisper_full_params whisper_full_default_params(enum whisper_sampling_strategy strategy) {
     struct whisper_full_params result = {
-        /*.strategy         =*/ strategy,
-
-        /*.n_threads        =*/ std::min(4, (int32_t) std::thread::hardware_concurrency()),
-        /*.n_max_text_ctx   =*/ 16384,
-        /*.offset_ms        =*/ 0,
-        /*.duration_ms      =*/ 0,
-
-        /*.translate        =*/ false,
-        /*.no_context       =*/ true,
-        /*.single_segment   =*/ false,
-        /*.print_special    =*/ false,
-        /*.print_progress   =*/ true,
-        /*.print_realtime   =*/ false,
-        /*.print_timestamps =*/ true,
-
-        /*.token_timestamps =*/ false,
-        /*.thold_pt         =*/ 0.01f,
-        /*.thold_ptsum      =*/ 0.01f,
-        /*.max_len          =*/ 0,
-        /*.split_on_word    =*/ false,
-        /*.max_tokens       =*/ 0,
-
-        /*.speed_up         =*/ false,
-        /*.audio_ctx        =*/ 0,
-
-        /*.initial_prompt   =*/ nullptr,
-        /*.prompt_tokens    =*/ nullptr,
-        /*.prompt_n_tokens  =*/ 0,
-
-        /*.language         =*/ "en",
-        /*.detect_language  =*/ false,
-
-        /*.suppress_blank   =*/ true,
+        /*.strategy          =*/ strategy,
+
+        /*.n_threads         =*/ std::min(4, (int32_t) std::thread::hardware_concurrency()),
+        /*.n_max_text_ctx    =*/ 16384,
+        /*.offset_ms         =*/ 0,
+        /*.duration_ms       =*/ 0,
+
+        /*.translate         =*/ false,
+        /*.no_context        =*/ true,
+        /*.single_segment    =*/ false,
+        /*.print_special     =*/ false,
+        /*.print_progress    =*/ true,
+        /*.print_realtime    =*/ false,
+        /*.print_timestamps  =*/ true,
+
+        /*.token_timestamps  =*/ false,
+        /*.thold_pt          =*/ 0.01f,
+        /*.thold_ptsum       =*/ 0.01f,
+        /*.max_len           =*/ 0,
+        /*.split_on_word     =*/ false,
+        /*.max_tokens        =*/ 0,
+
+        /*.speed_up          =*/ false,
+        /*.audio_ctx         =*/ 0,
+
+        /*.tdrz_enable       =*/ false,
+
+        /*.initial_prompt    =*/ nullptr,
+        /*.prompt_tokens     =*/ nullptr,
+        /*.prompt_n_tokens   =*/ 0,
+
+        /*.language          =*/ "en",
+        /*.detect_language   =*/ false,
+
+        /*.suppress_blank    =*/ true,
         /*.suppress_non_speech_tokens =*/ false,
 
-        /*.temperature      =*/  0.0f,
-        /*.max_initial_ts   =*/  1.0f,
-        /*.length_penalty   =*/ -1.0f,
+        /*.temperature       =*/  0.0f,
+        /*.max_initial_ts    =*/  1.0f,
+        /*.length_penalty    =*/ -1.0f,
 
-        /*.temperature_inc  =*/  0.4f,
-        /*.entropy_thold    =*/  2.4f,
-        /*.logprob_thold    =*/ -1.0f,
-        /*.no_speech_thold  =*/  0.6f,
+        /*.temperature_inc   =*/  0.4f,
+        /*.entropy_thold     =*/  2.4f,
+        /*.logprob_thold     =*/ -1.0f,
+        /*.no_speech_thold   =*/  0.6f,
 
-        /*.greedy           =*/ {
+        /*.greedy            =*/ {
             /*.best_of   =*/ -1,
         },
 
@@ -3430,6 +3447,7 @@ static int whisper_wrap_segment(struct whisper_context & ctx, struct whisper_sta
             state.result_all.back().text = std::move(text);
             state.result_all.back().t1 = token.t0;
             state.result_all.back().tokens.resize(i);
+            state.result_all.back().speaker_turn_next = false;
 
             state.result_all.push_back({});
             state.result_all.back().t0 = token.t0;
@@ -3441,6 +3459,8 @@ static int whisper_wrap_segment(struct whisper_context & ctx, struct whisper_sta
                     segment.tokens.begin() + i,
                     segment.tokens.end());
 
+            state.result_all.back().speaker_turn_next = segment.speaker_turn_next;
+
             acc = 0;
             text = "";
 
@@ -3519,9 +3539,14 @@ static void whisper_process_logits(
         // ref: https://github.com/openai/whisper/blob/0b1ba3d46ebf7fe6f953acfd8cad62a4f851b49f/whisper/decoding.py#L410-L412
         logits[vocab.token_not] = -INFINITY;
 
-        // suppress sot and solm tokens
+        // suppress sot and nosp tokens
         logits[vocab.token_sot]  = -INFINITY;
-        logits[vocab.token_solm] = -INFINITY;
+        logits[vocab.token_nosp] = -INFINITY; // TODO: ignore this token for now
+
+        // [TDRZ] when tinydiarize is disabled, suppress solm token
+        if (params.tdrz_enable == false) {
+            logits[vocab.token_solm] = -INFINITY;
+        }
 
         // suppress task tokens
         logits[vocab.token_translate]  = -INFINITY;
@@ -4018,9 +4043,9 @@ int whisper_full_with_state(
         state->lang_id = lang_id;
         prompt_init.push_back(whisper_token_lang(ctx, lang_id));
         if (params.translate) {
-            prompt_init.push_back(whisper_token_translate());
+            prompt_init.push_back(whisper_token_translate(ctx));
         } else {
-            prompt_init.push_back(whisper_token_transcribe());
+            prompt_init.push_back(whisper_token_transcribe(ctx));
         }
     }
 
@@ -4500,23 +4525,27 @@ int whisper_full_with_state(
                 prompt_past.push_back(tokens_cur[i].id);
             }
 
-            // store the text from this iteration
             if (!tokens_cur.empty() && ctx->model.n_loaded > 0) {
                 int  i0 = 0;
                 auto t0 = seek + 2*(tokens_cur.front().tid - whisper_token_beg(ctx));
 
                 std::string text;
+                bool speaker_turn_next = false;
 
                 for (int i = 0; i < (int) tokens_cur.size(); i++) {
                     //printf("%s: %18s %6.3f %18s %6.3f\n", __func__,
                     //        ctx->vocab.id_to_token[tokens_cur[i].id].c_str(), tokens_cur[i].p,
                     //        ctx->vocab.id_to_token[tokens_cur[i].tid].c_str(), tokens_cur[i].pt);
 
-                    if (params.print_special == false && tokens_cur[i].id >= whisper_token_eot(ctx)) {
-                    } else {
+                    if (params.print_special || tokens_cur[i].id < whisper_token_eot(ctx)) {
                         text += whisper_token_to_str(ctx, tokens_cur[i].id);
                     }
 
+                    // [TDRZ] record if speaker turn was predicted after current segment
+                    if (params.tdrz_enable && tokens_cur[i].id == whisper_token_solm(ctx)) {
+                        speaker_turn_next = true;
+                    }
+
                     if (tokens_cur[i].id > whisper_token_beg(ctx) && !params.single_segment) {
                         const auto t1 = seek + 2*(tokens_cur[i].tid - whisper_token_beg(ctx));
 
@@ -4535,7 +4564,7 @@ int whisper_full_with_state(
 
                             //printf("tt0 = %d, tt1 = %d, text = %s, token = %s, token_id = %d, tid = %d\n", tt0, tt1, text.c_str(), ctx->vocab.id_to_token[tokens_cur[i].id].c_str(), tokens_cur[i].id, tokens_cur[i].tid);
 
-                            result_all.push_back({ tt0, tt1, text, {} });
+                            result_all.push_back({ tt0, tt1, text, {}, speaker_turn_next });
                             for (int j = i0; j <= i; j++) {
                                 result_all.back().tokens.push_back(tokens_cur[j]);
                             }
@@ -4561,6 +4590,7 @@ int whisper_full_with_state(
                         i--;
                         t0 = t1;
                         i0 = i + 1;
+                        speaker_turn_next = false;
                     }
                 }
 
@@ -4579,7 +4609,7 @@ int whisper_full_with_state(
                         }
                     }
 
-                    result_all.push_back({ tt0, tt1, text, {} });
+                    result_all.push_back({ tt0, tt1, text, {} , speaker_turn_next });
                     for (int j = i0; j < (int) tokens_cur.size(); j++) {
                         result_all.back().tokens.push_back(tokens_cur[j]);
                     }
@@ -4759,6 +4789,10 @@ int64_t whisper_full_get_segment_t1(struct whisper_context * ctx, int i_segment)
     return ctx->state->result_all[i_segment].t1;
 }
 
+bool whisper_full_get_segment_speaker_turn_next(struct whisper_context * ctx, int i_segment) {
+    return ctx->state->result_all[i_segment].speaker_turn_next;
+}
+
 const char * whisper_full_get_segment_text_from_state(struct whisper_state * state, int i_segment) {
     return state->result_all[i_segment].text.c_str();
 }

whisper.h

@@ -277,15 +277,16 @@ extern "C" {
     // 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_prev(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 (void);
-    WHISPER_API whisper_token whisper_token_transcribe(void);
+    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);
@@ -358,6 +359,9 @@ extern "C" {
         bool speed_up;          // speed-up the audio by 2x using Phase Vocoder
         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;
@@ -460,6 +464,9 @@ extern "C" {
     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);
+
     // 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);
@@ -488,9 +495,9 @@ extern "C" {
 
     // 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 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);
 
 #ifdef __cplusplus