I turn them into mfcc features ,shaped (128, 1172),
y, sr = librosa.load('E:/audio/113987.wav', sr=None)
S = librosa.feature.melspectrogram(y, sr=sr, n_mels=128)
log_S = librosa.amplitude_to_db(S)
mel_128=librosa.feature.mfcc(S=log_S, n_mfcc=128)
then I use local_concurrences(mel_128.T, mel_128_2.T)
I got error info
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
I'm new to audio process. and there is no local_concurrences in dtw_ndim
I turn them into mfcc features ,shaped (128, 1172),
then I use local_concurrences(mel_128.T, mel_128_2.T) I got error info
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
I'm new to audio process. and there is no local_concurrences in dtw_ndim