56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
import asyncio
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import logging
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import wave
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from asr import BlackboxSTT
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from livekit import rtc
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# 设置日志级别以查看输出
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("test-asr")
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async def test():
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# 替换为你本地的一个音频文件路径
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audio_path = "/home/verachen/Music/voice/2food.wav"
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# 初始化 ASR
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stt = BlackboxSTT(url="http://10.6.80.21:5003/asr-blackbox", model_name="sensevoice")
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print(f"Testing ASR connectivity with file: {audio_path}")
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try:
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# 读取音频文件
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with wave.open(audio_path, "rb") as wf:
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frames = wf.readframes(wf.getnframes())
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# 简单构造一个 AudioBuffer (假设是单声道 16kHz)
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# 实际上 BlackboxSTT._recognize_impl 会用 combine_audio_frames(buffer).to_wav_bytes()
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# 所以我们需要传递一个包含 AudioFrame 的 list
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# 这里我们模拟一个 Frame
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frame = rtc.AudioFrame(
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data=frames,
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sample_rate=wf.getframerate(),
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num_channels=wf.getnchannels(),
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samples_per_channel=wf.getnframes(),
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)
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# 调用 recognize
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result = await stt.recognize(buffer=[frame])
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if result.alternatives:
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print("\n--- ASR Result ---")
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print(f"Text: {result.alternatives[0].text}")
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print("------------------\n")
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else:
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print("ASR returned no text.")
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except FileNotFoundError:
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print(f"Error: Audio file not found at {audio_path}")
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except Exception as e:
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print(f"An error occurred: {e}")
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if __name__ == "__main__":
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asyncio.run(test())
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