Last month, a user called @jojek told me in a comment the following advice: I can bet that given enough data, CNN on Mel energies will outperform MFCCs. You should try it. It makes more sense to...

I'm trying to do extract MFCC features from audio (.wav file) and I have tried python_speech_features and librosa but they are giving completely different results: audio, sr = librosa.load(file, s...

Here is my code so far on extracting MFCC feature from an audio file (.WAV): from python_speech_features import mfcc import scipy.io.wavfile as wav (rate,sig) = wav.read("AudioFile.wav")...

I'm using the librosa library to convert music segments into mel-spectrograms to use as inputs for my neural network, as shown in the docs here. How is this different from MFCCs, if at all? Are th...

I'm a bit stuck understanding MFCCs. From what I have read the mel filter banks should be a series of triangles that get wider and their peaks are at the same place. Like this... However when I...

As you might notice, i am really new to python and sound processing. I (hopefully) extracted FFT data from a wave file using python and the logfbank and mfcc function. (The logfbank seems to give t...

I'm trying to extract MFCC features from an audio file with 13 MFCCs with the below code: import librosa as l x, sr = l.load('/home/user/Data/Audio/Tracks/Dev/FS_P01_dev_001.wav', sr = 8000) n_ff...

I am extracting the MFCC features using two different libraries: The python_speech_features lib The BOB lib However the output of the two is different and even the shapes are not the same. Is ...

from librosa.feature import mfcc from librosa.core import load def extract_mfcc(sound): data, frame = load(sound) return mfcc(data, frame) mfcc = extract_mfcc("sound.wav") I would like to ge...

I came across this nice tutorial https://github.com/manashmndl/DeadSimpleSpeechRecognizer where the data is trained based on samples separated by folders and all mfcc are calculated at once. I am...

Using librosa, I created mfcc for my audio file as follows: import librosa y, sr = librosa.load('myfile.wav') print y print sr mfcc=librosa.feature.mfcc(y=y, sr=sr) I also have a text file that ...

My main goal is in feeding mfcc features to an ANN. However I am stuck at the data pre processing step and my question has two parts. BACKGROUND : I have an audio. I have a txt file that has the ...

I am trying to extract MFCC vectors from the audio signal as input into a recurrent neural network. However, I am having trouble figuring out how to obtain the raw audio frames in Swift using Core ...

I searched everywhere and I couldn't figure out how to extract MFCC feature using TarsosDSP on Android. I know how to get FFT out of a file. Any help?

I'm looking for methods that work in practise for determining some kind of acoustical similarity between different songs. Most of the methods I've seen so far (MFCC etc.) seem actually to aim at f...

Is there any implementation of MFCC available in C/C++? Any source codes or libraries? I've already found http://code.google.com/p/libmfcc/ which seem to be good.

Using Librosa library, I generated the MFCC features of audio file 1319 seconds into a matrix 20 X 56829. The 20 here represents the no of MFCC features (Which I can manually adjust it). But I don'...

Some background first: I want to plot of Mel-Frequency Cepstral Coefficients of various songs and compare them. I calculate MFCC's throughout a song and then average them to get one array of 13 c...

For my final year project i am trying to identify dog/bark/bird sounds real time (by recording sound clips). I am using MFCC as the audio features. Initially i have extracted altogether 12 MFCC vec...

I'm trying to do binary LSTM classification using theano. I have gone through the example code however I want to build my own. I have a small set of "Hello" & "Goodbye" recordings that I am u...

I have extracted 13 MFCC features of two utterances. Feature set for first utterance is of size 11*13 and other is 18*13. So, how to compare two feature sets to find the similarity between these tw...

I am trying to learn HMM GMM implementation and created a simple model to detect some certain sounds (animal calls etc.) I am trying to train a HMM (Hidden Markov Model) network with GMM (Gaussian...

I'm currently trying to create and train a neural network to perform simple speech classification using MFCCs. At the moment, I'm using 26 coefficients for each sample, and a total of 5 different ...

I am implementing MFCC algorithm in Java. There is a sample code here: http://www.ee.columbia.edu/~dpwe/muscontent/practical/mfcc.m at Matlab. However I have some problems with mel filter banking...

I am implementing MFCC algorithm with Java. There is a sample code for triangular filters and MFCC at Java. Here is the link: MFCC Java However I should follow that code written in Matlab: MFCC Mat...