Challenges and Limitations in Speech Recognition Technology:A Critical Review of Speech Signal Processing Algorithms,Tools and Systems  

作　　者：Sneha Basak Himanshi Agrawal Shreya Jena Shilpa Gite Mrinal Bachute Biswajeet Pradhan Mazen Assiri 

机构地区：[1]Computer Science and Information Technology Department,Symbiosis Institute of Technology,Symbiosis International(Deemed University),Pune,412115,India [2]Symbiosis Centre for Applied Artificial Intelligence,Symbiosis International(Deemed University),Pune,412115,India [3]Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS),School of Civil and Environmental Engineering,Faculty of Engineering and Information Technology,University of Technology Sydney,New South Wales,2007,Australia [4]Center of Excellence for Climate Change Research,King Abdulaziz University,Jeddah,21589,Saudi Arabia [5]Earth Observation Centre,Institute of Climate Change,University Kebangsaan Malaysia,Bangi,Selangor,43600,Malaysia

出　　处：《Computer Modeling in Engineering & Sciences》2023年第5期1053-1089,共37页工程与科学中的计算机建模（英文）

摘　　要：Speech recognition systems have become a unique human-computer interaction(HCI)family.Speech is one of the most naturally developed human abilities;speech signal processing opens up a transparent and hand-free computation experience.This paper aims to present a retrospective yet modern approach to the world of speech recognition systems.The development journey of ASR(Automatic Speech Recognition)has seen quite a few milestones and breakthrough technologies that have been highlighted in this paper.A step-by-step rundown of the fundamental stages in developing speech recognition systems has been presented,along with a brief discussion of various modern-day developments and applications in this domain.This review paper aims to summarize and provide a beginning point for those starting in the vast field of speech signal processing.Since speech recognition has a vast potential in various industries like telecommunication,emotion recognition,healthcare,etc.,this review would be helpful to researchers who aim at exploring more applications that society can quickly adopt in future years of evolution.

关 键 词：Speech recognition automatic speech recognition(ASR) mel-frequency cepstral coefficients(MFCC) hidden Markov model(HMM) artificial neural network(ANN) 

分 类 号：TN912.34[电子电信—通信与信息系统]