65 lines
2.3 KiB
Java
65 lines
2.3 KiB
Java
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// Copyright 2024 Xiaomi Corporation
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// This file shows how to use a VITS Chinese TTS model
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// to convert text to speech.
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//
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// You can use https://github.com/Plachtaa/VITS-fast-fine-tuning
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// to train your model
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import com.k2fsa.sherpa.onnx.*;
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public class NonStreamingTtsPiperEn {
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public static void main(String[] args) {
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// please visit
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// https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models
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// to download model files
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String model = "./vits-zh-hf-fanchen-C/vits-zh-hf-fanchen-C.onnx";
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String tokens = "./vits-zh-hf-fanchen-C/tokens.txt";
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String lexicon = "./vits-zh-hf-fanchen-C/lexicon.txt";
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String dictDir = "./vits-zh-hf-fanchen-C/dict";
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String ruleFsts =
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"./vits-zh-hf-fanchen-C/phone.fst,./vits-zh-hf-fanchen-C/date.fst,./vits-zh-hf-fanchen-C/number.fst";
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String text = "有问题，请拨打110或者手机18601239876。我们的价值观是真诚热爱！";
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OfflineTtsVitsModelConfig vitsModelConfig =
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OfflineTtsVitsModelConfig.builder()
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.setModel(model)
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.setTokens(tokens)
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.setLexicon(lexicon)
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.setDictDir(dictDir)
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.build();
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OfflineTtsModelConfig modelConfig =
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OfflineTtsModelConfig.builder()
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.setVits(vitsModelConfig)
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.setNumThreads(1)
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.setDebug(true)
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.build();
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OfflineTtsConfig config =
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OfflineTtsConfig.builder().setModel(modelConfig).setRuleFsts(ruleFsts).build();
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OfflineTts tts = new OfflineTts(config);
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int sid = 100;
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float speed = 1.0f;
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long start = System.currentTimeMillis();
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GeneratedAudio audio = tts.generate(text, sid, speed);
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long stop = System.currentTimeMillis();
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float timeElapsedSeconds = (stop - start) / 1000.0f;
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float audioDuration = audio.getSamples().length / (float) audio.getSampleRate();
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float real_time_factor = timeElapsedSeconds / audioDuration;
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String waveFilename = "tts-vits-zh.wav";
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audio.save(waveFilename);
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System.out.printf("-- elapsed : %.3f seconds\n", timeElapsedSeconds);
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System.out.printf("-- audio duration: %.3f seconds\n", timeElapsedSeconds);
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System.out.printf("-- real-time factor (RTF): %.3f\n", real_time_factor);
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System.out.printf("-- text: %s\n", text);
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System.out.printf("-- Saved to %s\n", waveFilename);
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tts.release();
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}
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}
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