python实现语音流断句

要实现语音流断句，可以借助VAD（Voice Activity Detection）技术，即语音活动检测技术，将语音流划分为不同的语音段。

在Python中，可以使用PyAudio库来录制语音流，并使用webrtcvad库来进行VAD。具体的实现步骤如下：

1. 安装PyAudio和webrtcvad库：

pip install pyaudio webrtcvad

2. 导入库：

import pyaudio
import webrtcvad

3. 初始化PyAudio：

p = pyaudio.PyAudio()

4. 设置音频流参数：

FORMAT = pyaudio.paInt16
RATE = 16000
CHANNELS = 1
CHUNK_DURATION_MS = 30      # 每个语音段的长度
PADDING_DURATION_MS = 150   # 语音段之间的间隔
CHUNK_SIZE = int(RATE * CHUNK_DURATION_MS / 1000)  # 每个语音段的大小
PADDING_SIZE = int(RATE * PADDING_DURATION_MS / 1000)  # 语音段之间的间隔大小

5. 定义VAD参数：

vad = webrtcvad.Vad(3)   # 设置VAD的敏感度，1-3依次增加

6. 定义断句函数：

def vad_collector(sample_rate, padding_ms, vad, frames):
    num_padding_frames = int(padding_ms / 30)
    ring_buffer = collections.deque(maxlen=num_padding_frames)
    triggered = False
    voiced_frames = []
    for frame in frames:
        is_speech = vad.is_speech(frame.bytes, sample_rate)
        sys.stdout.write('1' if is_speech else '0')
        if not triggered:
            ring_buffer.append(frame)
            num_voiced = len([f for f in ring_buffer if vad.is_speech(f.bytes, sample_rate)])
            if num_voiced > 0.9 * ring_buffer.maxlen:
                triggered = True
                voiced_frames.extend(ring_buffer)
                ring_buffer.clear()
        else:
            voiced_frames.append(frame)
            ring_buffer.append(frame)
            num_unvoiced = len([f for f in ring_buffer if not vad.is_speech(f.bytes, sample_rate)])
            if num_unvoiced > 0.9 * ring_buffer.maxlen:
                triggered = False
                yield b''.join([f.bytes for f in voiced_frames])
                ring_buffer.clear()
                voiced_frames = []
    if triggered:
        yield b''.join([f.bytes for f in voiced_frames])

7. 录制并断句：

stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK_SIZE)
print("开始录音")
frames = []
for i in range(int(RATE / CHUNK_SIZE * 30)):   # 录制30秒
    data = stream.read(CHUNK_SIZE)
    frames.append(data)
print("录音结束")
stream.stop_stream()
stream.close()
p.terminate()

# 对录制的语音流进行断句
chunks = list(vad_collector(RATE, PADDING_DURATION_MS, vad, Frame(idx, data) for idx, data in enumerate(frames)))

这样，chunks中就存储了断句后的语音段。