librosa

来源： https://stackoverflow.com/questions/60492462/mfcc-python-completely-different-result-from-librosa-vs-python-speech-features

来源： https://stackoverflow.com/questions/62916406/audiosegment-to-librosa

来源： https://stackoverflow.com/questions/62916406/audiosegment-to-librosa

来源： https://stackoverflow.com/questions/58841039/i-think-librosa-effect-split-has-some-problem

来源： https://stackoverflow.com/questions/58841039/i-think-librosa-effect-split-has-some-problem

来源： https://stackoverflow.com/questions/51906973/parametererror-audio-buffer-is-not-finite-everywhere

问题 i'm trying to use librosa to generate some data by cutting 1s pieces from some .wav file with a duration of 60s. This part works, i create all my files and i can also listen to them via any player, but if i try to open them with librosa.load i receive this error: >>> librosa.load('.\\train\\audio\\silence\\0doing_the_dishes.wav', sr=None) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\gionata\AppData\Local\Programs\Python\Python36\lib\site\packages

问题 i'm trying to use librosa to generate some data by cutting 1s pieces from some .wav file with a duration of 60s. This part works, i create all my files and i can also listen to them via any player, but if i try to open them with librosa.load i receive this error: >>> librosa.load('.\\train\\audio\\silence\\0doing_the_dishes.wav', sr=None) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\gionata\AppData\Local\Programs\Python\Python36\lib\site\packages

问题 I have a load of 3 hour MP3 files, and every ~15 minutes a distinct 1 second sound effect is played, which signals the beginning of a new chapter. Is it possible to identify each time this sound effect is played, so I can note the time offsets? The sound effect is similar every time, but because it's been encoded in a lossy file format, there will be a small amount of variation. The time offsets will be stored in the ID3 Chapter Frame MetaData. Example Source, where the sound effect plays

问题 I am using the mel spectrogram function which can be found here:Mel Spectrogram Librosa I use it as follows: signal = librosa.feature.melspectrogram(y=waveform, sr=sample_rate, n_fft=512, n_mels=128) Why is 128 mel bands use? I understand that the mel filterbank is used to simulate the "filterbank" in human ears, that's why it discriminates higher frequencies. I am designing and implementing a Speech-to-Text with Deep Learning and when I used n_mels=64, it didn't work at all, it only works