Questions tagged [mfcc]

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

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

Musical Instrument Characterization

I am doing an undergraduate project where I want to first characterize an instrument based on its pitch and timbre and make an instrument recognition system afterward. Pitch characterization is pretty ...
0 votes
0 answers
39 views

Separating 'heart sound' from 'lung sound'

I have audio files recorded from electronic stethoscope and in those files I want to filter out heart sounds and retain just the breathing sounds. How can I do this using just the signal processing ...
1 vote
0 answers
48 views

MFCCs are useful for speech & music analysis. For music, why isn't the 12-tone scale used instead of the mel scale?

As far as I understand, the mel scale was developed empirically using something akin to "just noticeable differences" in a subject's perception of frequencies. The scale ends up being a log ...
0 votes
0 answers
30 views

Isn't the MFCC feature good for real time applications?

I am interested in the audio classification problem. You can think of the problem as ML, but my question is from a signal processing perspective. I am questioning the classification performance of ...
1 vote
0 answers
10 views

Chunk a voice and do not save it in each step of processing

I need a way that when I get voice and chunk it with librosa Library when I do this my voice change to Typeless type . And I can not do any thing or do any progress in my voice . Other wise I don't ...
2 votes
1 answer
74 views

What are some speech features that vary with what the speaker says?

I have been working on a text-dependent speaker verification project. I have used mel-frequency cepstrum coefficients(MFCC) for the project. As far as I know, MFCC coefficients depend on the vocal ...
0 votes
0 answers
18 views

Use DFT twice for MFCC extraction engine or use both DFT and DCT?

I'm in the process of designing an MFC extraction engine on an FPGA using Verilog. My primary concern is whether I can implement the DFT twice in the MFCC calculation process: once before applying the ...
2 votes
1 answer
109 views

Standardize MFCCs Before or After Computing Deltas?

I want to create a feature space that includes MFCCs, MFCC deltas, and MFCC delta-deltas concatenated along the time axis which I will then feed into a CNN for speech emotion recognition. After ...
2 votes
3 answers
1k views

Synchronization of two audio tracks via Mel-frequency cepstral coefficients (MFCCs)

I am trying to solve the (common) problem of synchronizing (i.e. measuring the delay between) two audio tracks recorded from different sources during a conference talk (about 1h of audio). One track ...
0 votes
0 answers
42 views

Preprocessing lung sound data: replication of paper method

I'm really new to signal processing research. I'm trying to replicate Kirill Kochetov and Andrey Filchenkov. 2021. Generative Adversarial Networks for Respiratory Sound Augmentation. In Proceedings ...
0 votes
0 answers
197 views

difference in speed between tensorflow implementations of mfcc and stft

I am trying to preprocess audio clips for a keyword spotting task that uses machine learning models. The first step is to calculate the spectrogram starting from the waveform and in order to do so I ...
1 vote
0 answers
62 views

Why filter-bank energies coefficients are same through the frame?

I am trying to implement MFCC's from scratch in C++. In each frame, I am processing real-valued data to construct MFCC vectors. Although I think that my implementation is correct, the testing result ...
0 votes
0 answers
681 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 ...
1 vote
0 answers
312 views

Use the mean and standard deviation after MFCC extraction

I've noticed in some literature that the authors chose to use the mean and standard deviation of the extracted MFCC features. "ANALYSIS AND VOICE RECOGNITION IN INDONESIAN LANGUAGE USING MFCC ...
20 votes
1 answer
14k views

Cepstral Mean Normalization

Can anyone please explain about Cepstral Mean Normalization, how the equivalence property of convolution affect this? Is it must to do CMN in MFCC Based Speaker Recognition? Why the property of ...
2 votes
1 answer
114 views

MFCC: Does the DCT discard the information on pitch?

Given that the pitch harmonics of speech, are higher frequency features than the spectral envelope (of the pitch harmonics), I had an idea that computing the DCT of a spectrogram and discarding the ...
2 votes
0 answers
22 views

Text dependent speaker verification using MFCC and vector quantization

I am trying to implement a text dependent speaker verification system. Here each speaker will speak their unique identification number and they will be granted access. I am trying to implement this ...
3 votes
2 answers
3k 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 votes
1 answer
128 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 ...
4 votes
2 answers
12k views

MFCC - Significance of number of features

I have been doing some readings on the computation of Mel-Frequency Cepstral Coefficients (MFCC) and further use of Vector Quantizers (VQ) for recognition purposes. I am however stumped by the method ...
-1 votes
2 answers
398 views

can MFCC coefficients alone be used to do voice detection?

Aim of my project is to differentiate between cases of silence, single active speaker and multiple ( simultaneous ) active speakers using as basic ( but effective ) logic as possible. Is it possible ...
2 votes
1 answer
781 views

How to compare 2 MFCC (compare them if they where created from same speaker)

There are multiple speakers. Each speaker generates multiple MFCC. If I'm getting two different MFCC, can we know if those MFCC came from 2 different speakers or same speaker ? How can we compare ...
0 votes
1 answer
458 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. ...
-1 votes
1 answer
1k views

Verification of all steps needed to extract MFCCs from raw audio data

I need some verification on steps required to extract MFCCs from raw audio as I'm finding that some sources outline them slightly differently. Get raw audio frame Run window function (eg Blackman) on ...
2 votes
1 answer
1k views

Applying DTW on MFCC frames

I want to use MFCC (Mel-frequency cepstral coefficients) and DTW (dynamic time warping) algorithms to make a speech comparison script. I calculated MFCC and got 13 coefficients for each frame. How ...
-1 votes
2 answers
1k 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 ...
1 vote
1 answer
1k 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 ...
5 votes
2 answers
1k views

Dynamic Time Warping - Comparing Values

Ok, so I'm trying to compare two different speech signals and I have come into a problem. Here goes: I have split the signal into blocks, and I have computed the MFCC coefficients of each block. I ...
0 votes
0 answers
36 views

How is 76 frames calculated mfcc for 1 sec signal with 25 msec window and 10 msec overlap?

I was studying about keyword detection and while doing some reading, I read we take 1 sec audio signal. We then divide it into 25msec sub sections with and overlap of 10msec. We apply mel filter bank ...
5 votes
1 answer
399 views

how to handle different durations of audio data?

I am new to signal preprocessing, I read about mel_spectrograms, MFCC's. Now I want to apply it and use the CNN model, But the data which I have for practice is having audio of different durations, ...
-1 votes
1 answer
67 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 votes
1 answer
56 views

Going from an MFCC coefficient to Hz range?

I have not worked with MFCCs before, but I am faced with the observation that the 5th MFCC of a signal is actually of interest for me in my speech research. In order to understand why that one is ...
2 votes
2 answers
418 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 ...
1 vote
0 answers
168 views

Is Discrete cosine transform Translational Invariant

I am using 2D Mellin-Cepstrum to extract features, If I use log-polar transform to get rotational invariance, the rotation is transformed to translation. Can I use DCT next to get translational ...
30 votes
2 answers
16k views

How do I interpret the DCT step in the MFCC extraction process?

In most audio processing tasks, one of the most used transformations is MFCC (Mel-frequency cepstral coefficients). I mostly know the math that's behind the MFCC: I understand both the filterbank ...
1 vote
1 answer
279 views

Evaluating clustering result

I am working with phoneme clustering. I have been using $k$-means clustering have done $k$-means on 2 different data: spectrogram vector and MFCCs. I would like to know how I can evaluate the result ...
1 vote
2 answers
2k 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 ...
2 votes
0 answers
82 views

Combining signals in MFCC space

I'm looking at a data augmentation method for training up a neural network of speech data. Currently I have two version of augmentation. The first method works by taking an audio file and mixing in a ...
6 votes
3 answers
4k views

Sinusoidal liftering in implementations of MFCC

Some implementations of MFCC apply sinusoidal liftering as the final step in calculations of MFCC. It is claimed that speech recognition can be significantly improved. For instance, if $\text{MFCC}_i$ ...
1 vote
0 answers
46 views

Get Spectrogram from Filtered Power Spectrum

My objective is to get the higher resolution of spectrogram on the high-frequency area (2000 Hz - 5000 Hz) for a section of speech audio. I know that we typically apply Mel-scaled filter bank to get ...
1 vote
0 answers
90 views

Logarithmic Amplitude Spectral Subtraction

I'm diving into audio processing and I'm trying to wrap my head around spectral subtraction. I learned there are different approaches do it based on power, magnitude, oversubtraction. My task is to ...
0 votes
1 answer
51 views

Does speech volume affect frequencies?

I have created a little classifier that listens for certain keywords. Sometimes it will not react to a keyword, but if I shout the word, then the classifier will be able to pick it up. The classifier ...
0 votes
0 answers
45 views

What acoustics do MFCCs correspond to?

My question is, what frequency ranges do MFCCs correspond to? My line of thinking thus far is that if your highest frequency in the signal was 8000 Hz, you could convert to Mels (= 2834 Mels), take 13 ...
1 vote
0 answers
14 views

Sound feature extraction too brief in comparison with manual annotation of sound. How to combine them?

Sound characteristics (features) are taken per e.g. 20 ms, but manual annotation takes place in durations of seconds. If we want to use these characteristics along with labels, how can this be ...
0 votes
1 answer
69 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 ...
1 vote
0 answers
261 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
2 answers
132 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
2 answers
244 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
2 answers
116 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
0 answers
386 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 ...