106 lines
3.4 KiB
Python
106 lines
3.4 KiB
Python
#encoding = utf8
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#
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# import edge_tts
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# import asyncio
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# import pyaudio
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# from pydub import AudioSegment
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# from io import BytesIO
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#
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# # 如果在 Jupyter Notebook 中使用，解除事件循环限制
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# try:
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# import nest_asyncio
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# nest_asyncio.apply()
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# except ImportError:
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# pass
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#
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# def play_audio(data: bytes, stream: pyaudio.Stream) -> None:
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# stream.write(AudioSegment.from_mp3(BytesIO(data)).raw_data)
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#
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# CHUNK_SIZE = 20 * 1024
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# async def play_tts(text, voice):
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# communicate = edge_tts.Communicate(text, voice)
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#
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# # 设置 PyAudio
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# audio = pyaudio.PyAudio()
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# stream = audio.open(format=pyaudio.paInt16, channels=1, rate=24000, output=True)
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#
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# # async for chunk in communicate.stream(): # 使用 stream 方法
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# # if chunk['type'] == 'audio': # 确保 chunk 是字节流
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# # stream.write(chunk['data'])
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#
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# total_data = b''
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# for chunk in communicate.stream_sync():
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# if chunk["type"] == "audio" and chunk["data"]:
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# total_data += chunk["data"]
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# if len(total_data) >= CHUNK_SIZE:
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# # print(f"Time elapsed: {time.time() - start_time:.2f} seconds") # Print time
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# stream.write(AudioSegment.from_mp3(BytesIO(total_data[:CHUNK_SIZE])).raw_data)
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# # play_audio(total_data[:CHUNK_SIZE], stream) # Play first CHUNK_SIZE bytes
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# total_data = total_data[CHUNK_SIZE:] # Remove played data
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# # play_audio(total_data, stream)
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# # 停止和关闭音频流
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# stream.stop_stream()
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# stream.close()
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# audio.terminate()
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#
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#
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# async def save_to_file(text, voice, filename):
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# communicate = edge_tts.Communicate(text, voice)
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#
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# with open(filename, "wb") as f:
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# async for chunk in communicate.stream():
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# if chunk['type'] == 'audio':
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# f.write(chunk['data'])
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#
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# if __name__ == "__main__":
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# text = "Hello, this is a test of the Edge TTS service."
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# voice = "en-US-JessaNeural"
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#
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# # 使用 asyncio.run() 运行异步函数
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# asyncio.run(play_tts(text, voice))
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# # asyncio.run(save_to_file(text, voice, "output.wav"))
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import edge_tts
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import pyaudio
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from io import BytesIO
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from pydub import AudioSegment
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import time
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TEXT = 'Hello World! How are you guys doing? I hope great, cause I am having fun and honestly it has been a blast'
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VOICE = "en-US-AndrewMultilingualNeural"
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CHUNK_SIZE = 20 * 1024 # Assuming around 1024 bytes per chunk (adjust based on format)
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def main() -> None:
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start_time = time.time()
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communicator = edge_tts.Communicate(TEXT, VOICE)
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pyaudio_instance = pyaudio.PyAudio()
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audio_stream = pyaudio_instance.open(format=pyaudio.paInt16, channels=1, rate=24000, output=True)
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total_data = b'' # Store audio data instead of chunks
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for chunk in communicator.stream_sync():
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if chunk["type"] == "audio" and chunk["data"]:
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total_data += chunk["data"]
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if len(total_data) >= CHUNK_SIZE:
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print(f"Time elapsed: {time.time() - start_time:.2f} seconds") # Print time
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play_audio(total_data[:CHUNK_SIZE], audio_stream) # Play first CHUNK_SIZE bytes
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total_data = total_data[CHUNK_SIZE:] # Remove played data
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# Play remaining audio
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play_audio(total_data, audio_stream)
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audio_stream.stop_stream()
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audio_stream.close()
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pyaudio_instance.terminate()
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def play_audio(data: bytes, stream: pyaudio.Stream) -> None:
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stream.write(AudioSegment.from_mp3(BytesIO(data)).raw_data)
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if __name__ == "__main__":
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main()
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