60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
#encoding = utf8
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from io import BytesIO
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import numpy as np
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import soundfile as sf
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import edge_tts
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import resampy
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from .tts_base import TTSBase
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class TTSEdge(TTSBase):
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def __init__(self, handle, voice='zh-CN-XiaoyiNeural'):
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super().__init__(handle)
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self._voice = voice
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self._byte_stream = BytesIO()
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async def _on_request(self, txt: str):
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communicate = edge_tts.Communicate(txt, self._voice)
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first = True
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async for chunk in communicate.stream():
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if first:
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first = False
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if chunk["type"] == "audio":
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self._byte_stream.write(chunk["data"])
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elif chunk["type"] == "WordBoundary":
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pass
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async def _on_handle(self):
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self._byte_stream.seek(0)
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try:
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self._byte_stream.seek(0)
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stream = self.__create_bytes_stream(self._byte_stream)
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print('-------tts start push chunk')
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self._handle.on_handle(stream)
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self._byte_stream.seek(0)
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self._byte_stream.truncate()
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print('-------tts finish push chunk')
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except Exception as e:
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self._byte_stream.seek(0)
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self._byte_stream.truncate()
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print('-------tts finish error:', e)
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def __create_bytes_stream(self, byte_stream):
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stream, sample_rate = sf.read(byte_stream) # [T*sample_rate,] float64
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print(f'[INFO]tts audio stream {sample_rate}: {stream.shape}')
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stream = stream.astype(np.float32)
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if stream.ndim > 1:
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print(f'[WARN] audio has {stream.shape[1]} channels, only use the first.')
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stream = stream[:, 0]
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if sample_rate != self._handle.sample_rate and stream.shape[0] > 0:
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print(f'[WARN] audio sample rate is {sample_rate}, resampling into {self._handle.sample_rate}.')
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stream = resampy.resample(x=stream, sr_orig=sample_rate, sr_new=self._handle.sample_rate)
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return stream
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