# Speech Analytics Part -1, Basics of Speech Analytics

Learn about the basics properties of sound wave, how to extract features and pre-process them in this part. Speech signals are sound signals, defined as pressure variations travelling through the air. These variations in pressure can be described as waves and correspondingly they are often called sound waves. Sound wave can be described by five characteristics: Wavelength, Amplitude, Time-Period, Frequency and Velocity or Speed

## So what is a sound wave ?

Speech signals are sound signals, defined as pressure variations travelling through the air. These variations in pressure can be described as waves and correspondingly they are often called sound waves.

*Sound *wave can be described by five characteristics: Wavelength, Amplitude, Time-Period, Frequency and Velocity or Speed

1. *Wavelength *— The minimum distance in which a sound wave repeats itself is called its wavelength. That is it is the length of one complete wave. It is denoted by a Greek letter λ
2. *Amplitude *— When a wave passes through a medium, the particles of the medium get displaced temporarily from their original undisturbed positions. The maximum displacement of the particles of the medium from their original undisturbed positions, when a wave passes through the medium is called amplitude of the wave.

3. *Time Period *— The time required to produce one complete wave or cycle or cycle is called time-period of the wave.

4. *Frequency *— The number of complete waves or cycles produced in one second is called frequency of the wave. The S.I unit of frequency is hertz or Hz.

5. *Velocity *— The distance traveled by a wave in one second is called velocity of the wave or speed of the wave.

## What is Windowing and Sampling in Sound Data?

Sampling the signal is a process of converting an analog signal to a digital signal by selecting a certain number of samples per second from the analog signal. Can you see what we are doing here? We are converting an audio signal to a discrete signal through sampling so that it can be stored and processed efficiently in memory.

## Speech Analytics, Sound Analytics in TorchAudio

Learn how to do sound pre-processing in TorchAudio. The landscape of DataScience is changing everyday. In the last few years we have seen numerous number of research and advancement in NLP and Computer Vision field.

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