详解Python如何使用audioflux处理音频数据

pip install audioflux

from audioflux import Audio
 
# 加载音频文件
audio = Audio.load('example.wav')
 
# 播放音频
audio.play()

from audioflux import Recorder
 
# 创建录音机实例
recorder = Recorder()
 
# 开始录音
recorder.start()
 
# 停止录音
recorder.stop()
 
# 保存录音文件
recorder.save('my_recording.wav')

from audioflux.effects import Reverb
 
# 加载音频文件
audio = Audio.load('example.wav')
 
# 应用混响效果
reverbed_audio = Reverb.apply(audio, room_size=0.8)
 
# 播放处理后的音频
reverbed_audio.play()

from audioflux.analysis import Spectrum
 
# 加载音频文件
audio = Audio.load('example.wav')
 
# 计算频谱
spectrum = Spectrum.analyze(audio)
 
# 打印频谱数据
print(spectrum)

from audioflux import Audio, effects
 
# 加载原始音频
audio = Audio.load('background_noise.wav')
 
# 应用降噪效果
denoised_audio = effects.Denoise.apply(audio)
 
# 应用混响增加空间感
reverbed_audio = effects.Reverb.apply(denoised_audio, room_size=0.5)
 
# 保存处理后的音效
reverbed_audio.save('processed_background.wav')

from audioflux import Audio, analysis
 
# 加载音乐文件
music = Audio.load('example_music.wav')
 
# 分析音乐的节拍
beats = analysis.BeatDetection.detect(music)
 
# 显示节拍信息
for beat in beats:
    print(f"Beat at: {beat.time}s")

from audioflux import Audio, automation
 
# 加载广告片段
advertisement = Audio.load('ad_spot.wav')
 
# 计划广告播放
scheduler = automation.Scheduler()
scheduler.schedule(advertisement, start_time='15:30')
 
# 执行播放计划
scheduler.run()

from audioflux import Audio, effects, recognition
 
# 捕获实时音频
recorder = Audio.record()
 
# 实时应用语音增强效果
enhanced_audio = effects.VoiceEnhance.apply(recorder)
 
# 使用语音识别处理增强后的音频
command = recognition.SpeechToText.convert(enhanced_audio)
 
# 解析和响应命令
print(f"Received command: {command}")