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

• Published in: Computer modeling in engineering & sciences Vol. 135; no. 2; pp. 1053 - 1089
• Main Authors: Basak, Sneha, Agrawal, Himanshi, Jena, Shreya, Gite, Shilpa, Bachute, Mrinal, Pradhan, Biswajeet, Assiri, Mazen
• Format: Journal Article
• Language: English
• Published: Henderson Tech Science Press 2023
• Subjects: Algorithms; Automatic speech recognition; Emotion recognition; Human performance; Human-computer interface; Signal processing; Speech; Voice recognition
• ISSN: 1526-1506; 1526-1492; 1526-1506
• DOI: 10.32604/cmes.2022.021755

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.