使用 Python 实现声纹和声音识别并集成到会议记录程序中

要使用 Python 实现声纹和声音识别并集成到会议记录程序中，可以按照以下步骤进行：

1. 安装必要的库

需要安装一些 Python 库，如 SpeechRecognition 用于语音识别，pyAudio 用于音频输入，resemblyzer 用于声纹识别。可以使用以下命令进行安装：

pip install SpeechRecognition pyaudio resemblyzer

2. 实现声纹和声音识别并集成会议记录程序

python">import speech_recognition as sr
from resemblyzer import preprocess_wav, VoiceEncoder
from pathlib import Path
import numpy as np# 初始化语音识别器
r = sr.Recognizer()# 初始化声纹编码器
encoder = VoiceEncoder()# 存储已知声纹和对应的说话人名称
known_speakers = {}
# 存储会议记录
meeting_records = []def load_known_speakers(speaker_folder):"""加载已知说话人的声纹:param speaker_folder: 存储说话人音频文件的文件夹路径"""speaker_folder = Path(speaker_folder)for speaker_dir in speaker_folder.iterdir():if speaker_dir.is_dir():speaker_name = speaker_dir.namewav_files = list(speaker_dir.glob("*.wav"))embeddings = []for wav_file in wav_files:wav = preprocess_wav(wav_file)embedding = encoder.embed_utterance(wav)embeddings.append(embedding)if embeddings:known_speakers[speaker_name] = np.mean(embeddings, axis=0)def recognize_speaker(audio):"""识别说话人:param audio: 音频数据:return: 说话人名称"""wav = preprocess_wav(audio.get_wav_data())embedding = encoder.embed_utterance(wav)best_similarity = -1best_speaker = Nonefor speaker, known_embedding in known_speakers.items():similarity = np.dot(embedding, known_embedding)if similarity > best_similarity:best_similarity = similaritybest_speaker = speakerreturn best_speakerdef record_meeting():"""记录会议内容"""with sr.Microphone() as source:print("开始记录会议，请说话...")while True:try:audio = r.listen(source)speaker = recognize_speaker(audio)if speaker is None:speaker = "未知说话人"text = r.recognize_google(audio, language='zh-CN')record = f"{speaker}: {text}"meeting_records.append(record)print(record)except sr.UnknownValueError:print("无法识别语音，请重新说话。")except sr.RequestError as e:print(f"请求错误; {e}")except KeyboardInterrupt:print("会议记录结束。")breakdef save_meeting_records(file_path):"""保存会议记录到文件:param file_path: 文件路径"""with open(file_path, 'w', encoding='utf-8') as f:for record in meeting_records:f.write(record + '\n')if __name__ == "__main__":# 加载已知说话人的声纹load_known_speakers("known_speakers")# 开始记录会议record_meeting()# 保存会议记录save_meeting_records("meeting_records.txt")

3. 代码说明

加载已知说话人的声纹：load_known_speakers 函数用于加载已知说话人的声纹，将每个说话人的音频文件的声纹进行平均，存储在 known_speakers 字典中。
识别说话人：recognize_speaker 函数用于识别当前说话人的身份，通过计算当前音频的声纹与已知声纹的相似度，找出最相似的说话人。
记录会议内容：record_meeting 函数使用麦克风录制音频，调用 recognize_speaker 函数识别说话人，使用 SpeechRecognition 库将音频转换为文本，并将说话人信息和文本记录到 meeting_records 列表中。
保存会议记录：save_meeting_records 函数将 meeting_records 列表中的内容保存到指定的文件中。