Extract Features from Audio File | MFCC | Python

⭐️ Content Description ⭐️
In this video, I have explained on how to extract features from audio file to train the model. MFCC is a feature extraction technique widely used in speech and audio processing. MFCCs are used to represent the spectral characteristics of sound in a way that is well-suited for various machine learning tasks, such as speech recognition and music analysis.

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[anshulmishra]

Please make a video on the image annotations tool as well.

Also, do we have any tutorial for watermark detection on bulk images and Detecting any specific category from bulk of different images i.e. resume from 10K images.

[kundanmahesh]

Can i know what are the features of the voice clipping that were extracted.

[ernestpaul]

Great tutorial. Have you tried feature extraction with any of the hugging face's transformer models? Particularly the whisper model for audio feature extraction?

[devdexvils]

how if we want to extract spectrogram or mel spectrogram??

[occultdebasis]

how to save extracted feature in excel file?
how to load bunch files and folders and use?

[anishgawande]

Hey buddy, excellent explaination. So if I want to export this extracted data in an excel sheet in standardized formats, is there any way to do this?
I am able to get a spectogram, but I need standardized numerical data in a datasheet format.

[joshuahaynes]

So after you've extracted this information, whats a good use case for it? And if i wanted to compare two audio files, how would i use these features for comparison?

[helios.]

I want to extract these features how can ı do.? meanfreq, sd, median, q25, q75, iqr, skew, kurt, sp_ent, sfm, mode, centroid, meanfun, minfun, maxfun, meandom, mindom, maxdom, dfrange, modindx

[arz]

Hi thanks for the beautiful tutorial. I want to extract features from multiple audio files and save it for the training model? Can you pls guide how can I do it?

[abugslife]

Hi there, thank you for the video. Very helpful! I'm doing this same thing, but I have 160 audio files that i want to loop through and calculate the mfcc for each. It's taking a long time to do the extraction and my kernel keeps going idle after the 60th audio file. 

Does this mean I need more computer bandwidth to complete the whole loop or can something else be the issue? I tried to run twice and it stopped both times at the same place, which was the 69th audio file. It ran about 20 minutes before going idle. Any help is appreciated, thank you so much!

[zainabanike]

ipython library is installed in jupyter notebook but when I try to import ipython.display as ipd it says 'no module named ipython' .. Ive tried everything what could be the problem?

[PraveenKumar-kgtk]

Can we use this to find similarity percentage between 2 or multiple audio files? Like by finding the distance between the features.

[shalu-qjmc]

How can i give mfcc output to the CNN input so that the model will train??

[ihhcbgg]

hello, I've been practicing the coding in the youtube video but there is a little problem reading the audio file. can you please help so that it doesn't error in reading the audio file. thank you.

[candycrush]

Hey bro, can we train a dee learning model with thse MFCC features?? for audio file detection???

[shubhamkapoor]

how do i normalize these mfcc?I read it can be done by cepstral mean and variance but i dont know how to do it.Can you please explain?
Also i was trying to do a k-means cluster on these mfcc using
kmeans=KMeans(n_clusters=2, random_state=0, n_init="lloyd").fit(features)

but it says float argument must be a number or string, not dict
I am not sure how to do k means cluster on the mfcc features generated.Can you explain this as well?

[ashoksahoo]

How can we detect a user has pronounced correctly a language. The audio feature extraction can be used?

[muhammadukkasha]

can you mention the name of the features because I am facing issues with fundamental frequency
and one more feature is also pending

[AnasKhan-uflq]

I want to extract features frame wise by that i mean if the audio if of lets say 300 seconds i want 300 rows and 50columns where column means number of features and row means number of frames in this case frame is 300 (1fps)

[vivianchinwennamdi]

what if i want to use a .wav file from my desktop. The os is not working, I keep getting error"The system cannot find the path specified: 'audio data/'" (Using VS Code)