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Fangjun Kuang
Committed by GitHub
9d25c90a 1 parent a0aef1f6

Add JavaScript API (node-addon) for homophone replacer (#2158)

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正在显示 7 个修改的文件 包含 214 行增加 和 0 行删除
@@ -92,7 +92,18 @@ if [[ $arch != "ia32" && $platform != "win32" ]]; then @@ -92,7 +92,18 @@ if [[ $arch != "ia32" && $platform != "win32" ]]; then
92 rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2 92 rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
93 93
94 node ./test_asr_non_streaming_sense_voice.js 94 node ./test_asr_non_streaming_sense_voice.js
  95 +
  96 + curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
  97 + tar xf dict.tar.bz2
  98 +
  99 + curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
  100 + curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
  101 + curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
  102 +
  103 + node ./test_asr_non_streaming_sense_voice_with_hr.js
  104 +
95 rm -rf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17 105 rm -rf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17
  106 + rm -rf dict replace.fst test-hr.wav lexicon.txt
96 107
97 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2 108 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2
98 tar xvf sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2 109 tar xvf sherpa-onnx-paraformer-zh-2023-09-14.tar.bz2
@@ -253,12 +264,21 @@ rm -f itn* @@ -253,12 +264,21 @@ rm -f itn*
253 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst 264 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
254 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn-zh-number.wav 265 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn-zh-number.wav
255 266
  267 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
  268 +tar xf dict.tar.bz2
  269 +
  270 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
  271 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
  272 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
  273 +
256 if [[ $arch != "ia32" && $platform != "win32" ]]; then 274 if [[ $arch != "ia32" && $platform != "win32" ]]; then
257 node test_asr_streaming_transducer_itn.js 275 node test_asr_streaming_transducer_itn.js
258 node test_asr_streaming_transducer.js 276 node test_asr_streaming_transducer.js
  277 + node test_asr_streaming_transducer_with_hr.js
259 fi 278 fi
260 279
261 rm -rf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20 280 rm -rf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20
  281 +rm -rf dict lexicon.txt replace.fst test-hr.wav
262 282
263 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2 283 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
264 tar xvf sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2 284 tar xvf sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
@@ -141,3 +141,4 @@ README-DEV.txt @@ -141,3 +141,4 @@ README-DEV.txt
141 ##clion 141 ##clion
142 .idea 142 .idea
143 sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02 143 sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02
  144 +dict
@@ -9,6 +9,7 @@ @@ -9,6 +9,7 @@
9 9
10 // defined in ./streaming-asr.cc 10 // defined in ./streaming-asr.cc
11 SherpaOnnxFeatureConfig GetFeatureConfig(Napi::Object obj); 11 SherpaOnnxFeatureConfig GetFeatureConfig(Napi::Object obj);
  12 +SherpaOnnxHomophoneReplacerConfig GetHomophoneReplacerConfig(Napi::Object obj);
12 13
13 static SherpaOnnxOfflineTransducerModelConfig GetOfflineTransducerModelConfig( 14 static SherpaOnnxOfflineTransducerModelConfig GetOfflineTransducerModelConfig(
14 Napi::Object obj) { 15 Napi::Object obj) {
@@ -261,6 +262,7 @@ CreateOfflineRecognizerWrapper(const Napi::CallbackInfo &info) { @@ -261,6 +262,7 @@ CreateOfflineRecognizerWrapper(const Napi::CallbackInfo &info) {
261 c.feat_config = GetFeatureConfig(o); 262 c.feat_config = GetFeatureConfig(o);
262 c.model_config = GetOfflineModelConfig(o); 263 c.model_config = GetOfflineModelConfig(o);
263 c.lm_config = GetOfflineLMConfig(o); 264 c.lm_config = GetOfflineLMConfig(o);
  265 + c.hr = GetHomophoneReplacerConfig(o);
264 266
265 SHERPA_ONNX_ASSIGN_ATTR_STR(decoding_method, decodingMethod); 267 SHERPA_ONNX_ASSIGN_ATTR_STR(decoding_method, decodingMethod);
266 SHERPA_ONNX_ASSIGN_ATTR_INT32(max_active_paths, maxActivePaths); 268 SHERPA_ONNX_ASSIGN_ATTR_INT32(max_active_paths, maxActivePaths);
@@ -324,6 +326,9 @@ CreateOfflineRecognizerWrapper(const Napi::CallbackInfo &info) { @@ -324,6 +326,9 @@ CreateOfflineRecognizerWrapper(const Napi::CallbackInfo &info) {
324 SHERPA_ONNX_DELETE_C_STR(c.hotwords_file); 326 SHERPA_ONNX_DELETE_C_STR(c.hotwords_file);
325 SHERPA_ONNX_DELETE_C_STR(c.rule_fsts); 327 SHERPA_ONNX_DELETE_C_STR(c.rule_fsts);
326 SHERPA_ONNX_DELETE_C_STR(c.rule_fars); 328 SHERPA_ONNX_DELETE_C_STR(c.rule_fars);
  329 + SHERPA_ONNX_DELETE_C_STR(c.hr.dict_dir);
  330 + SHERPA_ONNX_DELETE_C_STR(c.hr.lexicon);
  331 + SHERPA_ONNX_DELETE_C_STR(c.hr.rule_fsts);
327 332
328 if (!recognizer) { 333 if (!recognizer) {
329 Napi::TypeError::New(env, "Please check your config!") 334 Napi::TypeError::New(env, "Please check your config!")
@@ -144,6 +144,24 @@ static SherpaOnnxOnlineCtcFstDecoderConfig GetCtcFstDecoderConfig( @@ -144,6 +144,24 @@ static SherpaOnnxOnlineCtcFstDecoderConfig GetCtcFstDecoderConfig(
144 return c; 144 return c;
145 } 145 }
146 146
  147 +// Also used in ./non-streaming-asr.cc
  148 +SherpaOnnxHomophoneReplacerConfig GetHomophoneReplacerConfig(Napi::Object obj) {
  149 + SherpaOnnxHomophoneReplacerConfig c;
  150 + memset(&c, 0, sizeof(c));
  151 +
  152 + if (!obj.Has("hr") || !obj.Get("hr").IsObject()) {
  153 + return c;
  154 + }
  155 +
  156 + Napi::Object o = obj.Get("hr").As<Napi::Object>();
  157 +
  158 + SHERPA_ONNX_ASSIGN_ATTR_STR(dict_dir, dictDir);
  159 + SHERPA_ONNX_ASSIGN_ATTR_STR(lexicon, lexicon);
  160 + SHERPA_ONNX_ASSIGN_ATTR_STR(rule_fsts, ruleFsts);
  161 +
  162 + return c;
  163 +}
  164 +
147 static Napi::External<SherpaOnnxOnlineRecognizer> CreateOnlineRecognizerWrapper( 165 static Napi::External<SherpaOnnxOnlineRecognizer> CreateOnlineRecognizerWrapper(
148 const Napi::CallbackInfo &info) { 166 const Napi::CallbackInfo &info) {
149 Napi::Env env = info.Env(); 167 Napi::Env env = info.Env();
@@ -179,6 +197,7 @@ static Napi::External<SherpaOnnxOnlineRecognizer> CreateOnlineRecognizerWrapper( @@ -179,6 +197,7 @@ static Napi::External<SherpaOnnxOnlineRecognizer> CreateOnlineRecognizerWrapper(
179 memset(&c, 0, sizeof(c)); 197 memset(&c, 0, sizeof(c));
180 c.feat_config = GetFeatureConfig(o); 198 c.feat_config = GetFeatureConfig(o);
181 c.model_config = GetOnlineModelConfig(o); 199 c.model_config = GetOnlineModelConfig(o);
  200 + c.hr = GetHomophoneReplacerConfig(o);
182 201
183 SHERPA_ONNX_ASSIGN_ATTR_STR(decoding_method, decodingMethod); 202 SHERPA_ONNX_ASSIGN_ATTR_STR(decoding_method, decodingMethod);
184 SHERPA_ONNX_ASSIGN_ATTR_INT32(max_active_paths, maxActivePaths); 203 SHERPA_ONNX_ASSIGN_ATTR_INT32(max_active_paths, maxActivePaths);
@@ -243,6 +262,10 @@ static Napi::External<SherpaOnnxOnlineRecognizer> CreateOnlineRecognizerWrapper( @@ -243,6 +262,10 @@ static Napi::External<SherpaOnnxOnlineRecognizer> CreateOnlineRecognizerWrapper(
243 SHERPA_ONNX_DELETE_C_STR(c.hotwords_buf); 262 SHERPA_ONNX_DELETE_C_STR(c.hotwords_buf);
244 SHERPA_ONNX_DELETE_C_STR(c.ctc_fst_decoder_config.graph); 263 SHERPA_ONNX_DELETE_C_STR(c.ctc_fst_decoder_config.graph);
245 264
  265 + SHERPA_ONNX_DELETE_C_STR(c.hr.dict_dir);
  266 + SHERPA_ONNX_DELETE_C_STR(c.hr.lexicon);
  267 + SHERPA_ONNX_DELETE_C_STR(c.hr.rule_fsts);
  268 +
246 if (!recognizer) { 269 if (!recognizer) {
247 Napi::TypeError::New(env, "Please check your config!") 270 Napi::TypeError::New(env, "Please check your config!")
248 .ThrowAsJavaScriptException(); 271 .ThrowAsJavaScriptException();
@@ -98,6 +98,7 @@ The following tables list the examples in this folder. @@ -98,6 +98,7 @@ The following tables list the examples in this folder.
98 |File| Description| 98 |File| Description|
99 |---|---| 99 |---|---|
100 |[./test_asr_streaming_transducer.js](./test_asr_streaming_transducer.js)| Streaming speech recognition from a file using a Zipformer transducer model| 100 |[./test_asr_streaming_transducer.js](./test_asr_streaming_transducer.js)| Streaming speech recognition from a file using a Zipformer transducer model|
  101 +|[./test_asr_streaming_transducer_with_hr.js](./test_asr_streaming_transducer_with_hr.js)| Streaming speech recognition from a file using a Zipformer transducer model with homophone replacer|
101 |[./test_asr_streaming_ctc.js](./test_asr_streaming_ctc.js)| Streaming speech recognition from a file using a Zipformer CTC model with greedy search| 102 |[./test_asr_streaming_ctc.js](./test_asr_streaming_ctc.js)| Streaming speech recognition from a file using a Zipformer CTC model with greedy search|
102 |[./test_asr_streaming_ctc_hlg.js](./test_asr_streaming_ctc_hlg.js)| Streaming speech recognition from a file using a Zipformer CTC model with HLG decoding| 103 |[./test_asr_streaming_ctc_hlg.js](./test_asr_streaming_ctc_hlg.js)| Streaming speech recognition from a file using a Zipformer CTC model with HLG decoding|
103 |[./test_asr_streaming_paraformer.js](./test_asr_streaming_paraformer.js)|Streaming speech recognition from a file using a [Paraformer](https://github.com/alibaba-damo-academy/FunASR) model| 104 |[./test_asr_streaming_paraformer.js](./test_asr_streaming_paraformer.js)|Streaming speech recognition from a file using a [Paraformer](https://github.com/alibaba-damo-academy/FunASR) model|
@@ -125,6 +126,7 @@ The following tables list the examples in this folder. @@ -125,6 +126,7 @@ The following tables list the examples in this folder.
125 |[./test_asr_non_streaming_dolphin_ctc.js](./test_asr_non_streaming_dolphin_ctc.js)|Non-streaming speech recognition from a file using a [Dolphinhttps://github.com/DataoceanAI/Dolphin]) CTC model with greedy search| 126 |[./test_asr_non_streaming_dolphin_ctc.js](./test_asr_non_streaming_dolphin_ctc.js)|Non-streaming speech recognition from a file using a [Dolphinhttps://github.com/DataoceanAI/Dolphin]) CTC model with greedy search|
126 |[./test_asr_non_streaming_paraformer.js](./test_asr_non_streaming_paraformer.js)|Non-streaming speech recognition from a file using [Paraformer](https://github.com/alibaba-damo-academy/FunASR)| 127 |[./test_asr_non_streaming_paraformer.js](./test_asr_non_streaming_paraformer.js)|Non-streaming speech recognition from a file using [Paraformer](https://github.com/alibaba-damo-academy/FunASR)|
127 |[./test_asr_non_streaming_sense_voice.js](./test_asr_non_streaming_sense_voice.js)|Non-streaming speech recognition from a file using [SenseVoice](https://github.com/FunAudioLLM/SenseVoice)| 128 |[./test_asr_non_streaming_sense_voice.js](./test_asr_non_streaming_sense_voice.js)|Non-streaming speech recognition from a file using [SenseVoice](https://github.com/FunAudioLLM/SenseVoice)|
  129 +|[./test_asr_non_streaming_sense_voice_with_hr.js](./test_asr_non_streaming_sense_voice_with_hr.js)|Non-streaming speech recognition from a file using [SenseVoice](https://github.com/FunAudioLLM/SenseVoice) with homophone replacer|
128 130
129 ## Non-Streaming speech-to-text from a microphone with VAD 131 ## Non-Streaming speech-to-text from a microphone with VAD
130 132
@@ -207,6 +209,22 @@ rm sherpa-onnx-ced-mini-audio-tagging-2024-09-14.tar.bz2 @@ -207,6 +209,22 @@ rm sherpa-onnx-ced-mini-audio-tagging-2024-09-14.tar.bz2
207 node ./test_audio_tagging_ced.js 209 node ./test_audio_tagging_ced.js
208 ``` 210 ```
209 211
  212 +### Streaming speech recognition with Zipformer transducer with homophone replacer
  213 +```bash
  214 +wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
  215 +tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
  216 +rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
  217 +
  218 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
  219 +tar xf dict.tar.bz2
  220 +
  221 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
  222 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
  223 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
  224 +
  225 +node ./test_asr_streaming_transducer_with_hr.js
  226 +```
  227 +
210 ### Streaming speech recognition with Zipformer transducer 228 ### Streaming speech recognition with Zipformer transducer
211 229
212 ```bash 230 ```bash
@@ -371,6 +389,22 @@ npm install naudiodon2 @@ -371,6 +389,22 @@ npm install naudiodon2
371 node ./test_vad_asr_non_streaming_paraformer_microphone.js 389 node ./test_vad_asr_non_streaming_paraformer_microphone.js
372 ``` 390 ```
373 391
  392 +### Non-streaming speech recognition with SenseVoice with homophone replacer
  393 +```bash
  394 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
  395 +tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
  396 +rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
  397 +
  398 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/dict.tar.bz2
  399 +tar xf dict.tar.bz2
  400 +
  401 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/replace.fst
  402 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/test-hr.wav
  403 +curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/hr-files/lexicon.txt
  404 +
  405 +node ./test_asr_non_streaming_sense_voice_with_hr.js
  406 +```
  407 +
374 ### Non-streaming speech recognition with SenseVoice 408 ### Non-streaming speech recognition with SenseVoice
375 409
376 ```bash 410 ```bash
  1 +// Copyright (c) 2025 Xiaomi Corporation
  2 +const sherpa_onnx = require('sherpa-onnx-node');
  3 +
  4 +// Please download test files from
  5 +// https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
  6 +// https://github.com/k2-fsa/sherpa-onnx/releases/tag/hr-files
  7 +
  8 +
  9 +// If your path contains non-ascii characters, e.g., Chinese, you can use
  10 +// the following code
  11 +//
  12 +
  13 +// let encoder = new TextEncoder();
  14 +// let tokens = encoder.encode(
  15 +// './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/测试.txt');
  16 +// let model = encoder.encode(
  17 +// './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/测试.int8.onnx');
  18 +
  19 +
  20 +const config = {
  21 + 'featConfig': {
  22 + 'sampleRate': 16000,
  23 + 'featureDim': 80,
  24 + },
  25 + 'modelConfig': {
  26 + 'senseVoice': {
  27 + 'model':
  28 + './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx',
  29 + // 'model': model,
  30 + 'useInverseTextNormalization': 1,
  31 + },
  32 + 'tokens': './sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt',
  33 + // 'tokens': tokens,
  34 + 'numThreads': 2,
  35 + 'provider': 'cpu',
  36 + 'debug': 1,
  37 + },
  38 + 'hr': {
  39 + // Please download files from
  40 + // https://github.com/k2-fsa/sherpa-onnx/releases/tag/hr-files
  41 + 'dictDir': './dict',
  42 + 'lexicon': './lexicon.txt',
  43 + 'ruleFsts': './replace.fst',
  44 + }
  45 +};
  46 +
  47 +const waveFilename = './test-hr.wav';
  48 +
  49 +const recognizer = new sherpa_onnx.OfflineRecognizer(config);
  50 +console.log('Started')
  51 +let start = Date.now();
  52 +const stream = recognizer.createStream();
  53 +const wave = sherpa_onnx.readWave(waveFilename);
  54 +stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples});
  55 +
  56 +recognizer.decode(stream);
  57 +result = recognizer.getResult(stream)
  58 +let stop = Date.now();
  59 +console.log('Done')
  60 +
  61 +const elapsed_seconds = (stop - start) / 1000;
  62 +const duration = wave.samples.length / wave.sampleRate;
  63 +const real_time_factor = elapsed_seconds / duration;
  64 +console.log('Wave duration', duration.toFixed(3), 'seconds')
  65 +console.log('Elapsed', elapsed_seconds.toFixed(3), 'seconds')
  66 +console.log(
  67 + `RTF = ${elapsed_seconds.toFixed(3)}/${duration.toFixed(3)} =`,
  68 + real_time_factor.toFixed(3))
  69 +console.log(waveFilename)
  70 +console.log('result\n', result)
  1 +// Copyright (c) 2025 Xiaomi Corporation
  2 +const sherpa_onnx = require('sherpa-onnx-node');
  3 +
  4 +// Please download test files from
  5 +// https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
  6 +const config = {
  7 + 'featConfig': {
  8 + 'sampleRate': 16000,
  9 + 'featureDim': 80,
  10 + },
  11 + 'modelConfig': {
  12 + 'transducer': {
  13 + 'encoder':
  14 + './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/encoder-epoch-99-avg-1.int8.onnx',
  15 + 'decoder':
  16 + './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/decoder-epoch-99-avg-1.onnx',
  17 + 'joiner':
  18 + './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/joiner-epoch-99-avg-1.int8.onnx',
  19 + },
  20 + 'tokens':
  21 + './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt',
  22 + 'numThreads': 2,
  23 + 'provider': 'cpu',
  24 + 'debug': 1,
  25 + },
  26 + 'hr': {
  27 + 'dictDir': './dict',
  28 + 'lexicon': './lexicon.txt',
  29 + 'ruleFsts': './replace.fst',
  30 + },
  31 +};
  32 +
  33 +const waveFilename = './test-hr.wav';
  34 +
  35 +const recognizer = new sherpa_onnx.OnlineRecognizer(config);
  36 +console.log('Started')
  37 +let start = Date.now();
  38 +const stream = recognizer.createStream();
  39 +const wave = sherpa_onnx.readWave(waveFilename);
  40 +stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples});
  41 +
  42 +const tailPadding = new Float32Array(wave.sampleRate * 0.4);
  43 +stream.acceptWaveform({samples: tailPadding, sampleRate: wave.sampleRate});
  44 +
  45 +while (recognizer.isReady(stream)) {
  46 + recognizer.decode(stream);
  47 +}
  48 +result = recognizer.getResult(stream)
  49 +let stop = Date.now();
  50 +console.log('Done')
  51 +
  52 +const elapsed_seconds = (stop - start) / 1000;
  53 +const duration = wave.samples.length / wave.sampleRate;
  54 +const real_time_factor = elapsed_seconds / duration;
  55 +console.log('Wave duration', duration.toFixed(3), 'seconds')
  56 +console.log('Elapsed', elapsed_seconds.toFixed(3), 'seconds')
  57 +console.log(
  58 + `RTF = ${elapsed_seconds.toFixed(3)}/${duration.toFixed(3)} =`,
  59 + real_time_factor.toFixed(3))
  60 +console.log(waveFilename)
  61 +console.log('result\n', result)