Hi, is it possible to analyse an 20 MB Audio File to mark the most similar sounds (with an x variation). Lets explain with a record of and Harddrive, the sounds are mostly the same, i want to know the quantity of a selected sound in this file. Like "How many Clicks with a Frequency 995Hz-1000Hz are in this file with a length of 0.3 Seconds".
You’ll want to do a spectrum analysis of the signal. So you’ll need to do a Fourier transform of the signal. This well then show you what you’re looking for :)
Good content, but you should have created this as two videos, one to explain only audio analysis and the other to explain MATLAB Live feature. I want only the audio analysis part, mixing up of the two makes us lose focus. Overall good content though.
![Spectrogram Examples [Matlab]](http://i.ytimg.com/vi/2mB74QhDznI/mqdefault.jpg)
![Spectrogram Examples [Matlab]](/img/tr.png)
You are one of very few content providers , who provide such systematic and complete lectures. Thanks for sharing such valuable knowledge.
10/10 exactly what I was looking for! you saved me several hours!
Very good explanation. Want video on parametric spectral analysis
Thanks for watching ❤️. I will sure make one.
now MATLAB is much easier thanks
Muchas gracias! Very helpful!
HI. Can you tell me how I can remove a back vocal from song? Because I ve already tried to use filter (fdatool) but nothing .
A tutorial on Digital Image Processing in MATLAB with Deep Learning would be great for all viewers
Hi thank you very much for your videos I just didn’t know how to select all rows in the second block
Sir please provide us explanation on voicebox which is speech processing toolbox matlab programs
wow!! thank you
How can I change one of the values of the y table and then save it in another file to know if the same record remains or has been changed?
Can u make video on matlab code to generate fft of ADC ,to find SNR,SFDR,THD,SINAD
Can u pls make one video on audio mixed signal separation
Thank you, great video! Just a question... why is the decibel scale inverted in the spectrogram and in the power spectrum?
It was very useful. Thank you. Could you please make video on writing signal detection algorithm ?
Can we import a data file in .txt format and do the processing ?
In my case, Value stored in x is a matrix of single column not 2 columns
Could you please provide me with the script code for an acquastic emission sensor for a gearbox in Matlab?
Hi, great video. Very useful, I have a question. Is it possible to set the yaxis to a specific range? for example only show 0 to 2000 Hz?
if the audio sound is like a sentence, for example ' MY NAME IS', how can I retrieve data word from the sentence to get signal?
How can we ge generate spectrogram matrix?
can you give me reference to the logaricmic peridogram gram and its equations.?
thanks
Can u plot a magnitude(dB) for audio analysis??
Hi, is it possible to analyse an 20 MB Audio File to mark the most similar sounds (with an x variation).
Lets explain with a record of and Harddrive, the sounds are mostly the same, i want to know the quantity of a selected sound in this file.
Like "How many Clicks with a Frequency 995Hz-1000Hz are in this file with a length of 0.3 Seconds".
You’ll want to do a spectrum analysis of the signal. So you’ll need to do a Fourier transform of the signal. This well then show you what you’re looking for :)
great job bud!
Thanks for watching ❤️
Good content, but you should have created this as two videos, one to explain only audio analysis and the other to explain MATLAB Live feature. I want only the audio analysis part, mixing up of the two makes us lose focus.
Overall good content though.
Thank you for these videos, can you please, show us how to use ‘vocoder’/ noise vocoder speech in MATLAB with the code available.
Thanks a lot
Sir please how to get on this code
It not download
When I type in audioread my Matlab says there's not enough input arguments. does anyone know why?
www.mathworks.com/matlabcentral/answers/53100-not-enough-input-arguments
how can find doppler frequency for a time varying signal from spectrogram or by using fast fourier Transform
good content but too many ads