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Bridging the Gap: The Role of Speech Processing in Enhancing Human-Computer Interaction
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Author(s): Amena Mahmoud (Faculty of Computers and Information, Kafrelsheikh University, Egypt)and Wael A. Awad (Independent Researcher, Egypt)
Copyright: 2026
Pages: 24
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.ch001
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Abstract
Human-computer interaction (HCI) has evolved significantly with speech processing technologies, yet a substantial gap remains between natural human communication and machine interaction capabilities. This paper examines speech processing's role in enhancing HCI by analyzing acoustic signal processing, natural language understanding, and user interface design. The study investigates key technologies including automatic speech recognition (ASR), text-to-speech synthesis, and speaker identification across diverse applications such as voice assistants, accessibility tools, gaming environments, and interactive voice response systems. Our analysis reveals that while speech processing has successfully transformed HCI applications, critical issues including acoustic noise sensitivity, limited inclusivity for diverse speaker populations, and the “uncanny valley” effect continue impeding optimal user experience.
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