59d118c256
- generate samples for https://k2-fsa.github.io/sherpa/onnx/tts/all/ - provide int8 model for kokoro v0.19 kokoro-int8-en-v0_19.tar.bz2
47 lines
1.4 KiB
Python
Executable File
47 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2025 Xiaomi Corp. (authors: Fangjun Kuang)
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"""
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Generate samples for
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https://k2-fsa.github.io/sherpa/onnx/tts/all/
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"""
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import sherpa_onnx
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import soundfile as sf
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from generate_voices_bin import speaker2id
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config = sherpa_onnx.OfflineTtsConfig(
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model=sherpa_onnx.OfflineTtsModelConfig(
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kokoro=sherpa_onnx.OfflineTtsKokoroModelConfig(
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model="./kokoro.onnx",
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voices="./voices.bin",
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tokens="./tokens.txt",
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data_dir="./espeak-ng-data",
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dict_dir="./dict",
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lexicon="./lexicon-zh.txt,./lexicon-us-en.txt",
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),
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num_threads=2,
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debug=True,
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),
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rule_fsts="./phone-zh.fst,./date-zh.fst,./number-zh.fst",
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max_num_sentences=1,
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)
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if not config.validate():
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raise ValueError("Please check your config")
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tts = sherpa_onnx.OfflineTts(config)
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text = "This model supports both Chinese and English. 小米的核心价值观是什么？答案是真诚热爱！有困难，请拨打110 或者18601200909。I am learning 机器学习. 我在研究 machine learning。What do you think 中英文说的如何呢? 今天是 2025年6月18号."
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print("text", text)
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for s, i in speaker2id.items():
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print(s, i, len(speaker2id))
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audio = tts.generate(text, sid=i, speed=1.0)
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sf.write(
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f"./hf/kokoro/v1.1-zh/mp3/{i}-{s}.mp3",
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audio.samples,
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samplerate=audio.sample_rate,
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)
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