Questions tagged [mfcc]

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

Filter by
Sorted by
Tagged with
0
votes
0answers
18 views

In audio analysis, is the first rahmonic from the cepstrum equivalent to the first partial of a pitched sound?

I was reading this text from Oppenheim and Schafer, briefly explaining the concept of the cepstrum. I'm new to this concept. He explains that the cepstrum is useful to quantize the distance between '...
1
vote
0answers
28 views

Understanding MFCC

I am not from electrical or electronic background so my knowledge will be lacking. MFCC is represented by 39 values for each window frame. 12 values are the mel filter-bank and we get 13th value by ...
0
votes
2answers
55 views

Working with a sound's magnitude instead of amplitude

I'm working on a project, where we're recording sound with a piezo-disc which looks a little something like this: Now, unless we're doing something horribly horribly wrong, I've discovered that we're ...
0
votes
0answers
18 views

Compare two spoken words with MFCC and DTW

Processing of the speech signal is done using Matlab. I want to use MFCC (Mel-frequency cepstral coefficients) is implemented using HTK and DTW (dynamic time warping v2.1) algorithms to make a speech ...
0
votes
2answers
35 views

Understanding MFCCs

I am doing research about emotion recognition from speech, by applying machine learning. Most papers are recommending using MFCC features. Therefore, I am currently trying to understand the underlying ...
0
votes
0answers
6 views

Help understand MFCC extraction in SPTK toolkit

The algorithm for MFCC extraction is: Compute the Fourier transform of (a windowed excerpt of) a signal. Map the powers of the spectrum obtained above onto the mel scale, using triangular overlapping ...
0
votes
0answers
31 views

How to save MFCC features and frame energy of several wav files to one .npz file for machine learning training?

I am creating a English-Italian corpus of around 100 hours of English audio from LibriVox aligned with their Italian textual translation. The alignment is at a sentence level and the corpus consist of ...
0
votes
0answers
7 views

Alternatives to MFCCs for Sonar Classification?

Currently I am processing sonar (.wav) files into MFCC features using the librosa library. I use these features as input for sonar classification. Are there any alternatives to MFCCs -- other ...
0
votes
0answers
7 views

Using delta MFCC for signal segmentation

Hello I am focused on implementing a method of speech segmentation into syllables based on delta mfcc. After the calculating of delta, I extracted their maximum local and the next step is to determine ...
0
votes
2answers
26 views

Amplitude of a signal. [-1, 1] vs variants and MFCC implications

I've seen two sort of audio signals, one where the y-axis takes values between -1 and +1. I'd think this means 1 means loudest? Not really sure And the second one I saw goes between $-10 000$ and $+...
0
votes
0answers
40 views

How do I interpret these mfcc graphs?

The first graph represents mfcc plot for female and the second for male. How do I interpret this graph with colors. and what is that color scale on the right? How do I differentiate gender from these ...
0
votes
0answers
9 views

Using MFCCs for acoustic machine failure prediction

MFCCs are ubiquitously extracted for speech processing tasks, but I would like to know how suitable they are for non-speech processing tasks. Intuitively, it is my understanding that MFCCs are ...
0
votes
0answers
23 views

MFCCs: magnitude spectrum vs power spectrum

As I know, the magnitude spectrum and power spectrum have the same information in this step before applying Mel-Filterbank, and the power spectrum may work slightly better in noise. However, I don't ...
0
votes
1answer
46 views

How to train and test deep neural network using MFCC features?

I am working on Voice Disorder Detection problem. I have extracted 13 MFCC features, 13 delta and 13 delta-delta features from each audio file (2 to 4 secs). I extracted these features for each frame (...
0
votes
1answer
89 views

MATLAB: Applying Inverse Fast Fourier Transform to an array of real numbers

I'm trying to understand the difference between applying the Discrete Cosine Transform (DCT) and the Inverse Discrete Fourier Transform (IDFT) to the log Mel-filterbank energies as explained in the ...
0
votes
0answers
193 views

Understanding liftering as the final step in MFCCs features extraction

In the book here, they apply liftering, as a final step of MFCCs features extraction, to isolate the system component by multiplying the whole cepstrum by a rectangular window centred on lower ...
0
votes
0answers
31 views

Why do we use the term “cepstral” in MFCCs, and how does it related to the cepstral domain?

As I know, we can get the cepstrum by taking the Inverse Discrete Fourier Transform (IDFT) of the log of the power spectrum. And we can get the Mel-frequency cepstral coefficients (MFCCs) by taking ...
1
vote
1answer
238 views

MFCCs and mean normalization

I'm reading a blog about extracting MFCCs features for Machine Learning applications, but I didn't understand the following points about the mean normalization: To balance the spectrum and improve ...
0
votes
2answers
94 views

filterbank: understand the different responses at the center frequency of each filter

I'm computing filterbank by applying 26 triangular filters on a Mel-scale to the power spectrum of an audio frame to extract frequency bands, and I found that some references use filterbank with equal ...
0
votes
0answers
11 views

What features capture the semantics of a sentence from a gien audio?

I have been thinking lately and looking up on what could be the possible features that capture the semantics of an audio and came across MFCC: MFCC features represent phonemes (distinct units of sound)...
0
votes
0answers
84 views

extracting mfccs after beamforming

I have a deep network for sound classification with mfccs as features. I wish to go through the process of beamforming before applying the classification. The original network uses ...
1
vote
0answers
20 views

Alone MFCC can identify difference between sound?

I am doing a project to identify different drum beats. There are lots of features like MFCC, Chroma Values, Spectral Bandwidth, Spectral Centroid, Zero Crossing Rate, etc. But most of the projects are ...
0
votes
0answers
52 views

Audio Activity Detection and Classification

I am starting a new project. Actually, my real intention is to learn speech recognition but for warming up I want to improve in audio signal processing. In my project, I aim to record sounds except ...
1
vote
1answer
62 views

Feature Extraction of Insect Sounds

First of all, forgive me if I sound stupid. I am still learning Audio Processing. So I am trying to make a machine learning model for detecting a specific insect through sound. Here is a sample raw ...
0
votes
0answers
143 views

Removing silent frames from audio files using MFCC+Z-Score

So I'm using ESC-50 audio database, and the files have some silent frames. While trying to reduce the weight of these silent portions for machine learning later, I noticed something. The silent frames ...
1
vote
1answer
112 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 ...
0
votes
1answer
389 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 ...
1
vote
1answer
534 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 ...
-1
votes
1answer
167 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 -> ...
1
vote
0answers
658 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. ...
-1
votes
2answers
171 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 ...
0
votes
1answer
232 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?
0
votes
1answer
301 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....
1
vote
1answer
517 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 ...
1
vote
1answer
343 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. ...
1
vote
1answer
708 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 ...
1
vote
1answer
43 views

How does a telephone change your voice? [closed]

Is it due to vocal length normalization during MFCC? Please be kind enough to explain.
1
vote
1answer
1k 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-...
1
vote
1answer
147 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 “...
0
votes
0answers
185 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 ...
0
votes
0answers
267 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 ...
0
votes
0answers
332 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.
0
votes
1answer
48 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. ...
1
vote
2answers
99 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 ...
0
votes
1answer
377 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. ...
0
votes
0answers
93 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 ...
0
votes
0answers
470 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 ...
0
votes
1answer
347 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 ...
1
vote
1answer
98 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 ...
-1
votes
3answers
375 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 ...