语音识别 学习笔记2024

目录

dragonfly

阿里达摩院FunASR：一款高效的端到端语音识别工具包

不错的功能介绍

librosa安装

语音识别

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dragonfly

阿里达摩院FunASR：一款高效的端到端语音识别工具包

不错的功能介绍

librosa，一个很有趣的 Python 库！ - 简书

音频转特征向量

GitHub - librosa/librosa: Python library for audio and music analysis

librosa安装

2024.04.27 测试ok Win11系统

pip install librosa

import os

import numpy as np
from transformers import Wav2Vec2Processor, Wav2Vec2Model
import torch

import librosa


def load_example_input(audio_path, processor=None):
    if processor is None:
        processor = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-base-960h")

    speech_array, sampling_rate = librosa.load(os.path.join(audio_path), sr=16000)

    audio_feature = np.squeeze(processor(speech_array, sampling_rate=sampling_rate).input_values)

    audio_feature = np.reshape(audio_feature, (-1, audio_feature.shape[0]))

    return torch.FloatTensor(audio_feature)


audio_path=r'demo/wav/man.wav'


load_example_input(audio_path)

语音识别

pip install SpeechRecognition

pip install pyaudio

import librosa
import speech_recognition as sr

# 录制音频
r = sr.Recognizer()
with sr.Microphone() as source:
    print("请开始说话...")
    audio = r.listen(source)

# 将音频转换为文本
try:
    text = r.recognize_google(audio)
    print("识别结果：", text)
except sr.UnknownValueError:
    print("无法识别音频")
except sr.RequestError as e:
    print(f"请求出错：{e}")