The audio recognition is one of the deep learning application
For fast training , the audio signal is divided into set of rows before the feature extraction and running the deep learning model are done
How we can do this division in a python code ??
I suggest to focus your work or your research for deep learning by using RNN architecture, for not spending your time. RNN use LSTM layers, it’s employed for signal processing. You can find the documentation in website TensorFlow.
website: www.tensorflow.org
I hope that be Claire for you and helpful.@ Reema Ahmad
I suggest you follow https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-1.html
https://towardsdatascience.com/how-to-apply-machine-learning-and-deep-learning-methods-to-audio-analysis-615e286fcbbc
Article Sound Source Distance Estimation Using Deep Learning: An Ima...
@Muhammad Ali
Thank you very much for these references
I wish you all the best and good luck
I suggest to focus your work or your research for deep learning by using RNN architecture, for not spending your time. RNN use LSTM layers, it’s employed for signal processing. You can find the documentation in website TensorFlow.
website: www.tensorflow.org
I hope that be Claire for you and helpful.@ Reema Ahmad
@Barodi Anass
Thank you very much for your answer
You mean that if I use LSTM, I don't need to make this division before ??
@Reema Ahmad
In my opinion you can use directly or you do it the pre-processing for you train dataset by Wavelet Transfomation.
I suggest you to watch this video for Dr. Ajay Verma
Video: https://www.youtube.com/watch?v=D9s9E-30epk
I hope that be Claire for you an helpful.
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