@Article{cmes.2022.021755,
AUTHOR = {Sneha Basak, Himanshi Agrawal, Shreya Jena, Shilpa Gite, Mrinal Bachute, Biswajeet Pradhan, Mazen Assiri},
TITLE = {Challenges and Limitations in Speech Recognition Technology: A Critical Review of Speech Signal Processing Algorithms, Tools and Systems},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {135},
YEAR = {2023},
NUMBER = {2},
PAGES = {1053--1089},
URL = {http://www.techscience.com/CMES/v135n2/50181},
ISSN = {1526-1506},
ABSTRACT = {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.},
DOI = {10.32604/cmes.2022.021755}
}