Speech Recognition by Machine, A Review

TL;DR

This review paper summarizes 60 years of research in automatic speech recognition, highlighting key advances, challenges, and techniques used in the development of speech recognition systems.

Contribution

It provides a comprehensive overview and comparison of methods across different stages of speech recognition, identifying current research trends and challenges.

Findings

Speech recognition accuracy remains a key challenge due to variability in context, speakers, and environment.

Various techniques for speech representation and feature extraction have been developed.

The paper highlights the evolution of speech recognition systems over six decades.

Abstract

This paper presents a brief survey on Automatic Speech Recognition and discusses the major themes and advances made in the past 60 years of research, so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of speech communication. After years of research and development the accuracy of automatic speech recognition remains one of the important research challenges (e.g., variations of the context, speakers, and environment).The design of Speech Recognition system requires careful attentions to the following issues: Definition of various types of speech classes, speech representation, feature extraction techniques, speech classifiers, database and performance evaluation. The problems that are existing in ASR and the various techniques to solve these problems constructed by various research workers have been presented in a chronological order. Hence authors hope that this work shall be a contribution in the area of speech recognition. The objective of this review paper is to summarize and compare some of the well known methods used in various stages of speech recognition system and identify research topic and applications which are at the forefront of this exciting and challenging field.