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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Preparation of audio data

In this section, many terms from the signal processing world will be used. We will explain some of them, and we don't expect the reader to know about the others. This book is about deep learning per se, and we encourage curious readers to perform their own research on the signal processing notions that are not thoroughly explained.

We will use the following parameters (they are obtained from the paper) for the spectral analysis and processing of the .wav files:

Variable Name

Description

Value

N_FFT

Number of Fourier transform points

1024

PREEMPHASIS

Parameter of the pre-emphasis technique that gives more importance to high frequencies in the signal 

0.97

SAMPLING_RATE

Sampling rate

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