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麦克风获取

# 打开麦克风流
stream = audio.open(format=FORMAT,channels=CHANNELS,rate=RATE,input=True,frames_per_buffer=CHUNK)

设置参数

# 录音参数
FORMAT = pyaudio.paInt16  # 16-bit resolution
CHANNELS = 1              # 单声道
RATE = 16000              # 采样率 16kHz
CHUNK = 1024              # 数据块大小
RECORD_SECONDS = 5        # 录制时长 (秒)
WAVE_OUTPUT_FILENAME = "output.wav"

读取数据块

# 循环读取数据块
for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):data = stream.read(CHUNK)frames.append(data)

阿里语音识别模型加载

paraformer_path = "./iic/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn"
fsmn_path = "./iic/speech_fsmn_vad_zh-cn-16k-common-pytorch"
ct_punc_path = "./iic/punc_ct-transformer_cn-en-common-vocab471067-large"
cam_path = "./iic/speech_campplus_sv_zh-cn_16k-common"model = AutoModel(model=paraformer_path, model_revision="v2.0.4",vad_model=fsmn_path, vad_model_revision="v2.0.4",punc_model=ct_punc_path, punc_model_revision="v2.0.4",spk_model=cam_path, spk_model_revision="v2.0.2",device="cpu")

阿里语音识别

res = model.generate(input=WAVE_OUTPUT_FILENAME,batch_size_s=16000,hotword='魔搭')

整体代码

import pyaudio
import wave
import threading
import keyboard
from funasr import AutoModel# 录音参数
FORMAT = pyaudio.paInt16  # 16-bit resolution
CHANNELS = 1  # 单声道
RATE = 16000  # 采样率 16kHz
CHUNK = 1024  # 数据块大小
WAVE_OUTPUT_FILENAME = "./wav_data/output.wav"# 初始化 PyAudio
audio = pyaudio.PyAudio()frames = []
stream = None
recording = Falseparaformer_path = "./iic/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn"
fsmn_path = "./iic/speech_fsmn_vad_zh-cn-16k-common-pytorch"
ct_punc_path = "./iic/punc_ct-transformer_cn-en-common-vocab471067-large"
cam_path = "./iic/speech_campplus_sv_zh-cn_16k-common"model = AutoModel(model=paraformer_path, model_revision="v2.0.4",vad_model=fsmn_path, vad_model_revision="v2.0.4",punc_model=ct_punc_path, punc_model_revision="v2.0.4",spk_model=cam_path, spk_model_revision="v2.0.2",device="cpu")print("加载模型完成！！！")def start_recording():"""开始录音"""global stream, recordingif not recording:print("开始录音...")recording = Truestream = audio.open(format=FORMAT,channels=CHANNELS,rate=RATE,input=True,frames_per_buffer=CHUNK)record_thread = threading.Thread(target=record_audio)record_thread.start()def stop_recording():"""停止录音并进行识别"""global stream, recordingif recording:print("录音结束.")recording = Falsestream.stop_stream()stream.close()save_audio()audio.terminate()print("开始识别！！！")res = model.generate(input=WAVE_OUTPUT_FILENAME,batch_size_s=16000,hotword='魔搭')print("识别结束！！！")print("识别结果：", res)def record_audio():"""录音功能实现"""while recording:data = stream.read(CHUNK)frames.append(data)def save_audio():"""保存录音文件"""wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')wf.setnchannels(CHANNELS)wf.setsampwidth(audio.get_sample_size(FORMAT))wf.setframerate(RATE)wf.writeframes(b''.join(frames))wf.close()# 监听 Ctrl 键开始录音
keyboard.add_hotkey('ctrl', start_recording)# 监听 Alt 键结束录音
keyboard.add_hotkey('alt', stop_recording)print("按 Ctrl 开始录音，按 Alt 结束录音")
keyboard.wait()  # 保持程序运行