[英]How to convert wav (audio) file from mel spectrogram?
I am working on an audio ML problem.我正在研究音频 ML 问题。 I am able to convert a given audio from WAV to MEL-Spectogram using tensorflow's this document.
我可以使用 tensorflow 的此文档将给定的音频从 WAV 转换为 MEL-Spectogram。
My usecase is basically one step more than this.我的用例基本上比这多了一步。 Once I have a mel-spectrogram, I want to reconstruct the audio file from it.
有了梅尔频谱图后,我想从中重建音频文件。 Put it simply, spectrogram to wav conversion.
简单点说,spectrogram to wav conversion。
Could any one please help me?任何人都可以帮助我吗?
I found a solution that works, as suggested by @ForamJ in the comment, however it took me 30mins to convert 1min audio.正如@ForamJ 在评论中所建议的那样,我找到了一个可行的解决方案,但是我花了 30 分钟来转换 1 分钟的音频。
# step1 - converting a wav file to numpy array and then converting that to mel-spectrogram
my_audio_as_np_array, my_sample_rate= librosa.load("audio1.wav")
# step2 - converting audio np array to spectrogram
spec = librosa.feature.melspectrogram(y=my_audio_as_np_array,
sr=my_sample_rate,
n_fft=2048,
hop_length=512,
win_length=None,
window='hann',
center=True,
pad_mode='reflect',
power=2.0,
n_mels=128)
# step3 converting mel-spectrogrma back to wav file
res = librosa.feature.inverse.mel_to_audio(spec,
sr=my_sample_rate,
n_fft=2048,
hop_length=512,
win_length=None,
window='hann',
center=True,
pad_mode='reflect',
power=2.0,
n_iter=32)
# step4 - save it as a wav file
import soundfile as sf
sf.write("test1.wav", res, sashi_sr)
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.