Audioread 怎么用？超逼真语音引擎支持播客应用提升效率教程

pip install audioread

python -c "import audioread; print(audioread.__version__)"

sudo apt-get install ffmpeg

import audioread

with audioread.audio_open('example.mp3') as f:
    print(f"文件时长：{f.duration:.2f} 秒")
    print(f"采样率：{f.samplerate} Hz")
    print(f"声道数：{f.channels}")

文件时长：180.00 秒
采样率：44100 Hz
声道数：2

with audioread.audio_open('example.mp3') as f:
    for frame in f:
        # 处理每一帧数据，例如转换为 NumPy 数组
        samples = np.frombuffer(frame, dtype=np.int16)
        # 进一步分析或保存

with audioread.audio_open('stereo.wav') as f:
    audio_data = b''.join(frame for frame in f)
    samples = np.frombuffer(audio_data, dtype=np.int16)
    if f.channels == :
        samples = samples.reshape(-, )  # 重塑为（时间点，声道）格式

import soundfile as sf
from scipy.signal import butter, filtfilt

# 读取音频并加噪（示例）
with audioread.audio_open('noisy_audio.wav') as f:
    audio_data = b''.join(f)
    noisy_samples = np.frombuffer(audio_data, dtype=np.int16)

# 设计低通滤波器
def butter_lowpass(cutoff, fs, order=):
    nyq = 0.5 * fs
    normal_cutoff = cutoff / nyq
    b, a = butter(order, normal_cutoff, btype='low', analog=False)
    return b, a

b, a = butter_lowpass(, f.samplerate)
filtered_samples = filtfilt(b, a, noisy_samples)

# 保存降噪后的音频
sf.write('clean_audio.wav', filtered_samples, f.samplerate)

import wave

with audioread.audio_open('input.mp3') as f:
    with wave.open('output.wav', 'wb') as wav_file:
        wav_file.setnchannels(f.channels)
        wav_file.setsampwidth()  # 16-bit PCM
        wav_file.setframerate(f.samplerate)
        for frame in f:
            wav_file.writeframes(frame)

from concurrent.futures import ThreadPoolExecutor

def process_audio(file_path):
    with audioread.audio_open(file_path) as f:
        # 处理逻辑
        pass

files = ['file1.mp3', 'file2.mp3', 'file3.mp3']
with ThreadPoolExecutor() as executor:
    executor.map(process_audio, files)

from functools import lru_cache

@lru_cache(maxsize=)
def get_audio_info(file_path):
    with audioread.audio_open(file_path) as f:
        return {
            'duration': f.duration,
            'samplerate': f.samplerate,
            'channels': f.channels
        }

# 导出为 WAV 供 Audacity 使用
with audioread.audio_open('processed_audio.mp3') as f:
    sf.write('audacity_input.wav', audio_data, f.samplerate)

from gtts import gTTS

# 生成语音文件
text = "欢迎收听今天的播客节目..."
tts = gTTS(text=text, lang='en')
tts.save('podcast_script.mp3')

# 使用 Audioread 读取并处理
with audioread.audio_open('podcast_script.mp3') as f:
    # 调整语速或音量（示例）
    # 这里可添加音频特效或混音
    pass

# 生成 RSS 源示例
rss_template = """

  
    
    
      
      
    
  

"""
with open('podcast.rss', 'w') as f:
    f.write(rss_template)

sudo apt-get install ffmpeg  # Ubuntu
brew install ffmpeg          # macOS