Questions tagged [mfcc]

Related to the calculation, verification, usage, and requirements for Mel Frequency Cepstral Coefficients.

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25 views

Calculate the Standard Deviation of Fundamental Frequency (MFCC)

I'm implementing a gunshot detector following the article "Algorithm for Gunshot Detection Using Mel-Frequency Cepstrum Coefficients (MFCC)" (paywall). In the article, the authors uses 22 features ...
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11 views

How to use parts of Aeneas to output a distance value between two audio files?

The module does pretty much exactly that: https://github.com/readbeyond/aeneas/blob/master/aeneas/dtw.py It finds the best path for DTW, but I'm quite unfamiliar with Python... What's a ...
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73 views

MFCC classification model

I have audio samples which MFCCs i want to train, but there is a problem. I can't find a classification model, because the samples have different length and consequently the MFCC matrices will also ...
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81 views

what is the output of MFCCs?

I had calculated 13 MFCCs coefficients of a speech signal and i got output in the form numerical vectors please see below figure. My confusion whether it is in time domain or frequency domain. suppose ...
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22 views

Problem with calculating PLP coefficients

I am trying to make a programme that will calculate PLP coefficients. The process is described in this paper. However, I am unsure about some of the procedures. Namely, in the IA should I use ...
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20 views

How To Find Frequency Range For Each MFCC Bin? [duplicate]

If I have 13 mfccs using 512 for fft size and 44100 for sampling rate, how can I find out which frequency range each mfcc bin represents? Do I need more information in order to calculate that?
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1answer
61 views

Why apply filterbank in power sepstrum not log power spectrum for cepstral coefficients feature(MFCC, IMFCC, LFCC) [duplicate]

In the original method for MFCC and any other method based on cepstral coefficients The original step is like this: |FFT|^2 -> Filterbank -> Log -> DCT but why not like that: |FFT|^2 -> Log -> ...
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22 views

MFCC-HMM to recognise a single word

I would like to detect how many times a person say a particular words in a sentence. Eg: Count the number of times he say "I" in an hour. Can we just build a "I" Hidden Markov Model(instead of ...
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336 views

How to overcome different MFCC coefficients distributions from different speech datasets?

I am using MFCC values as features for a machine learning model of speech, detecting age from a voice recording of a person. I work with voice datasets I found on the web: common-voice and vctk. ...
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2answers
63 views

why the MFCC is gender indenpend and used for isolated word recognition

I think female and male have total different MFCC feature for same word such as "one", but why the MFCC could be used for isolated word recognition which use the same HMM model for the same word ...
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1answer
71 views

What does mean when we say mel scale reflects how humans hear musical tone [duplicate]

According to the standard mel frequency conversion formula, the mel frequency corresponding to 10000 Hz is 3073.22. Does it mean human ears perceive 10000 Hz frequency of any sound as 3073.22 Hz?
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31 views

Noising audio in MFCC space

I am training up an audio recognition neural network using MFCCs. Its been shown to be very beneficial to artifically add noising and reverb of the original audio when training a neural network (Data ...
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1answer
147 views

How can I modify a sound signal based on it's MFCC

I'm working on an NN algorithm with which I want to filter noise from sound signals. I have some clean speech sound samples and noise samples, by combining them I get the signal that I want to filter....
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239 views

audio signal reconstruction from MFCC

Transforming an audio signal to Mel Frequency Cepstral Coefficients is broadly used in tasks involving learning on audio. I was wondering, is this transform invertible with some good approximability ...
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1answer
119 views

Fast Fourier Transform using numpy

I am a computer science student and didn't really have signal processing as a subject. Maybe I should be clear on the concepts of sampling rate and frequency of the signal but I am a little confused. ...
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344 views

Two voice pronunciation comparison similarity MFCC + DTW

Calculate each MFCC to compare wave file A and wave file B, and then use FastDTW to measure the distance after two sets of MFCCs. We compared the four wave files and obtained the Euclidean distance ...
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1answer
36 views

How does a telephone change your voice? [closed]

Is it due to vocal length normalization during MFCC? Please be kind enough to explain.
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1answer
536 views

MFCC window size at different sampling rates

The general recommendation for window size when calculating MFCC seems to be 20-40 msec. This is most often recommended in a context of 16000 samples per second, so leading to a window containing 320-...
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119 views

Given MFCC values for some wav’s, how can I easily tell if all speakers are the same?

Context: for a research project I have at regular times a batch of wav files with recordings of voice. The hypothesis is that all speakers in a batch are the same, but there might be 1 or a few “...
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127 views

issue with the MFCC and GMM for audio recognition

i am working on a project related to audio events recognition in real time like a door bell, baby crying, footstep, I have 9 categories of sound events so the first step i did was getting many wav ...
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147 views

issue in the mfcc function in java and matlab,not the same

I am working on a project for recognizing and identifying the sounds in real time(like baby crying, birds, door knocking...)by java, so I made a model by using audio files for 9 categories of sound by ...
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212 views

Why MFCC have varying length dimensions?

I have recently started to use MFCC as a feature for a project. However, I am unable to understand why MFCC have varying 2nd dimension size even when I chose the number of coefficients to be 40.
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1answer
39 views

Speech Processing applications: stereo data for features

I am working on speech databases that have a stereo format. I want to extract spectral information (Mel-filterbanks, MFCC, LPCC) and also some other prosody features like the fundamental Frequency F0. ...
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2answers
75 views

Is there such thing as harmony independent timbre characteristic of a sound?

I was wondering if any of you know about any technique to extract a harmony (e.g. harmony in a shape of a chromagram) independent timbre characteristic of a sound frame. What I'm after is a version ...
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1answer
319 views

Machine Learning - any suggestions to solve Python rounding errors?

I am working with Python to isolate voiced segments from music using the Jamendo corpus for singing detection. Training a model, I break my audio into frames, and have a label (0,1) for each frame. ...
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82 views

non-Mel Frequency Cepstral Coefficients

I'm trying to summarize the frequency domain information of an electrical signal as a feature engineering step for a machine learning algorithm. My hypothesis is that an anomaly will appear in the ...
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274 views

How to combine/append mfcc features with rmse and fft using librosa in python 2.7

I have an audio file say myfile.wav I trained a neural network based on fft features, and it is giving pretty good results for detecting particular classes of sounds. I want to expand above ...
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1answer
205 views

The origin of constants in mel-scale formula

To convert frequency to mel, we usually use formula: $$\mathrm{mel}(f) = 1127 \ln \left(1 + \frac{f}{700}\right)$$ I wonder where are $1127$ and $700$ came from? I've read the paper which ...
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1answer
88 views

Mathematical reason for MCPP in audio recognition?

MCPP uses a weird graph of human phychoacoustics measurements called MEL scale to process digital audio. Why is MEL used in DSP voice recognition if it's based on logarithmic human perception, and ...
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3answers
168 views

Features Used for Instrument Recognition?

I'm building a neural network for instrument recognition based on the IRMAS data set. However, I'm a bit at a loss for what features to use. MFCC seems to be quite popular but extracting this per ...
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1answer
163 views

Synchronizing 2 seperate speech audio signals

I have two speech signals: one with a man reading a passage, and one with a woman reading the same passage. I want to synchronize these signals so that, for each word, their readings line up. The ...
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1answer
195 views

MFCC in Speech Recognition and ANN

I have a dataset with over 2000 examples of digits (0 to 9) recorded on wav files. I'm trying to process these files with MFCC so that later I could train an Artificial Neural Network (ANN). My ...
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1answer
66 views

Trouble understanding an article about MFCC

I'm willing to apply the same audio preparation that this article page 3. However, I don't understand the final part : ...
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2answers
812 views

Is it possible to apply a frequency filter a time domain signal?

Is it possible to frequency filter a time domain signal, without converting the signal to a frequency domain.. My question comes in regards how MFCC according to wiki and other pages describe the ...
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1answer
809 views

MFCC delta: How to compute delta, in real time, with no future frames?

I am trying to compute Delta coefficients for real-time audio analysis. As far as I know, a valid formula is: $$d_t= \frac{\displaystyle\sum_{n=1}^{N}n\left(c_{t+n}-c_{t-n}\right)}{2\displaystyle\...
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0answers
198 views

How to use frame based audio features for machine learning

I have an audio recording (wav file) that is 2 seconds long. That is my sample and it needs to be classified as [class_A] or [class_B]. To extract MFCC features, I divided the sample into frames (183 ...
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2answers
626 views

Using k Nearest Neighbour & Dynamic Time Warping for keyword spotting

As stated in the title, I am currently researching a method using k-NN, specifically, as either an alternative or as a supplement to the DTW algorithm in keyword spotting based on MFCC. I have read ...
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1answer
171 views

Signal Processing and Emotion Recognition

I have to write a paper on emotion recognition. More specifically on how different parameters affect the algorithms effectiveness. I have already read a lot about this and done research using ...
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1answer
735 views

Applying dtw on mfcc

I have calculated 26 MFCCs for two sample speech data. My mfcc matrices thus contain 26 columns and 120 rows each, where 120 is the number of frames. Now I want to apply DTW on them and I am doing ...
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1answer
3k views

What's the correct graphical interpretation of a series of MFCC vectors?

I'm studying speech-recognition, in particular the use of MFCC for feature extraction. All examples I've found online tend to graph a series of MFCC extracted from a particular utterance as follows (...
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1answer
90 views

What is the use of perception calculation in Speaker Identification?

I'm currently trying to find audio features to train a neural network that distinguishes people, and I came across MFCC which is used a lot for speech verification. As far as I understand the ...
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94 views

Can MFCC consist any zero values?

After extracting audio features using some library, I just realized that sometimes it (MFCC) might or might not have zero values. At what time/event does MFCC could have zero values? Because it's (...
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2answers
381 views

Music recommendation by Cepstral coefficients

I have to make a music recommender system by taking signal features. I have decided to take MFCC coefficients as feature vector. So I extracted a dataset of 13 MFCC coefficients for each song. Here ...
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1answer
544 views

Comparing band-pass filters and convolutional kernels?

I am currently working on extracting features for speech recognition purposes. I wanted to try an approach similar to MFCC features in which the center frequency of each band pass filters are placed ...
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2answers
2k views

How to apply a mel-filterbank to a signal?

I found this description. According to this, the next step is a "binning" where binning means that each FFT magnitude coefficient is multiplied by the corresponding filter gain and the results ...
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1answer
2k views

From MFCC to Machine learning. What are the steps?

I was able to get a dataset with MFCC coefficients. However, depending on the length of my sound file I get a different sized matrix. As in, 13 (13 MFCC coefficients) by XXX, where XXX will vary ...
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1answer
766 views

Replicating Research: Feature Vectors of Audio Samples

I'm trying to make a few classifiers with scikitlearn. I'm using the Urban Sound database, and trying to replicated their research for a baseline. However, I don't understand how they derive their ...
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1answer
257 views

Applying a Liftering function to an audio signal

Is it necessary to perform the liftering function before applying MFCC to an audio signal?
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1answer
6k views

MFCC feature vector from wav file

I am trying to implement a spoken language identifier from audio files, using Neural Network. I need to generate one feature vector for each audio file. From what I have read the best features (for ...
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2answers
4k views

what is the mel scale?

I am not sure I understand what the Mel Scale is. Googling doesn't give me various answers. I seem to be getting the same response again and again. Which would be something like: "The mel scale ...