IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Natural Language Speech Processing Integrating Assistive Technologies for Human-Computer Interaction

Natural Language Speech Processing Integrating Assistive Technologies for Human-Computer Interaction
View Sample PDF
Author(s): Sachin Sharma (Amity University, Mohali, India)
Copyright: 2026
Pages: 30
Source title: Advancements in Speech Processing for Human-Computer Interaction
Source Author(s)/Editor(s): Abeer Saber (Damietta University, Egypt), Tamer Z. Emara (Damietta University, Egypt), Mohammad Sultan Mahmud (Shenzhen University, China), Muhammad Azhar (Hong Kong Shue Yan University, Hong Kong)and Esraa Hassan (Kafrelsheikh University, Egypt)
DOI: 10.4018/979-8-3373-3048-8.ch005

Purchase

View Natural Language Speech Processing Integrating Assistive Technologies for Human-Computer Interaction on the publisher's website for pricing and purchasing information.

Abstract

Natural Language Speech Processing (NLSP) is a fundamental space of consider that centers on the interaction between people and machines through talked dialect. The integration of assistive innovations in this field points to bridge communication holes and upgrade availability for people with inabilities. This chapter investigates the advancing scene of NLSP, emphasizing its part in progressing Human-Computer Interaction (HCI) by empowering consistent communication between clients and computers through voice acknowledgment, blend, and common dialect understanding. Assistive innovations such as speech-to-text, text-to-speech, and voice-controlled frameworks are changing every day intelligent for people with hearing, discourse, and engine impedances, giving them with upgraded independence and interaction conceivable outcomes. The integration of machine learning and profound learning calculations has quickened progressions in discourse acknowledgment precision, enthusiastic tone examination, and context-driven dialect preparing.

Related Content

Amena Mahmoud, Wael A. Awad. © 2026. 24 pages.
T. Venkat Narayana Rao, J. V. P. Udaya Deepika, Vardhan Uppala, C. Swetha. © 2026. 30 pages.
Wasswa Shafik. © 2026. 46 pages.
R. N. Ravikumar, S. Aarthi, Maryam Ahmad Usmani, Pappu Kumar Rai, Muhabbat Jumaniyozova, Maqsuda Narboshova. © 2026. 32 pages.
Sachin Sharma. © 2026. 30 pages.
G. Aishwarya Laxmi, Judith Justin, R. Vanithamani, Pavithra Suchindran. © 2026. 30 pages.
C. V. Suresh Babu, R. Tamilvanddan, S. Nanda Kumar, K. Barath. © 2026. 40 pages.
Body Bottom