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In this video, we will cover how to create a speech recognition system using Python. This video will help you understand what a speech recognition system is and how it works; It will do a hands-on lab demo to create a speech recognition system using python.
01:56 What is a speech recognition system
02:51 How does the speech recognition system work
06:35 Hands-on lab demo
➡️ What is speech recognition system?
A program's capacity to convert spoken language into written language is known as speech recognition, also known as automatic speech recognition (ASR), computer voice recognition, or speech-to-text. Despite being sometimes confused with voice recognition, speech recognition focuses on converting speech from a verbal to a text format, whereas voice recognition only aims to distinguish the voice of a certain person.
➡️ How does speech recognition work?
Speech recognition in Python works with algorithms that perform linguistic and acoustic modeling. Acoustic modeling is used to recognize phenones/phonetics in our speech to get the more significant part of speech, such as words and sentences. Speech recognition starts by taking the sound energy produced by the person speaking and converting it into electrical energy with the help of a microphone. It then converts this electrical energy from analog to digital and finally to text.
➡️ What is pyttsx3?
A Python text-to-speech conversion library is called pyttsx3. It is compatible with Python 2 and 3 and works offline, unlike competing libraries. To obtain a reference to a pyttsx3. Engine instance, an application calls the pyttsx3.init() factory method. It is a very user-friendly program that turns typed text into speech. The sapi5for Windows program offers two voices that the pyttsx3 module supports: a female voice and a male voice.
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