3 - Audio Feature Extraction using Python

In this video, we focus on audio feature extraction in the frequency domain.
The code shown in the video can be found at my Github page:

Helpful Resources to get more technical depth for some of the terms mentioned in the video/code are referenced throughout the jupyter notebook at the link above. Some of those are also mentioned below:

What is a Spectrogram?

What is windowing?

What is Short Time Fourier Transform (STFT)?

What are MelSpectrograms?

[fuchunhsieh]

this is a really helpful video for someone who just starts trying to do signal processing and classifying, thank you for your effort and it really helps me understand better on spectrogram and signal processing!

[soumyadrip]

Thank you for the video. Very excited for these video series. One of your videos, yolo to coco conversation was very helpful.

[lindaflow]

this was really helpful! thank you very very much!!

[demkut]

I want to analyze a frequency signal with a fairly large bandwidth. Will this method suit my task?

[helios.]

Hello, we are working on an assignment related to gender recognition from voice. However, we want to extract values such as "mean frequency, standaty deviation, spectral flattnes" from a person's voice using the data you use. How can we achieve this?

[jamilamuhammad]

Hello Prabhjot, this is indeed an amazing work. Thank you for taking your time to share knowledge to the world. Could you please guide me on how to save batches of spectrograms? I have created TensorFlow dataset of audio files and pass them through a data pipeline inline with the kind of decoding in accordance to my work. I want to plot and save each spectrogram from the dataset generated. Thank you in anticipation of your kind response. Cheers!

[SvSzYT]

if you want to increase the resolution on the x axis you can increase the sr. But how do you increase the resolution of the frequency on the y axis?

[devisthesis]

hi. can I have the slide presentation?really nice presentation
in 5:47 you mention spectral leakage, what is exactly?

[drjfilix]

Hi Prabhjot Gosal, thank you for your hot video which turned out to be very interesting!
a practical case: if I have to change the bpm of a song to make them constant for its entire duration (avoid drifting tempo) How tight is my library?

[Bekeyurious]

hello, its really helpful but can you please tell me how should i run the code and where? (ik silly question but im new to it)

[KhanhNguyen-dnbm]

Hi Prabhjot, can you make a video about LPC algorithm in Feature Extraction please?

[simhan]

Hi,

Good Day. Can we use this audio feature extraction to compare two voice of a same speaker in terms of authentication? Will saving the log mel output as logMel.out and compare the same speaker voice in different time as logMel2.out and compare both these output to authenticate ? Is that possible and result in a good way for this use case?

Regards,
Simhan

[JeffT-nu]

is it possible to share a link to the 'h_1.wav' file used in your youtube demo please 🙂

[durgaganesh]

Hi
Very interesting
I have a query
How can we find audio abnormalities like
Missing samples specific duration
And glitches in between audio file
Could help me
Thank you adavance

[juicetin]

Hi Prabhjot, I want to compare audio of person A with audio of person B and get a match percentage. Can you guide how to achieve this?
Just pointing me in the right direction will be great help.

[kenturkey]

What a waste! You showed literally nothing! Well, you showed you have no clue what you’re doing. Ugh.