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• CLARIS: Clear and Intelligible Speech from Whispered and Dysarthric Voices

  Neil Shah, Yash Sonkar, Shirish Subhash Karande, Vineet Gandhi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper introduces CLARIS (Clear and Accessible Restoration of Impaired Speech), a compact end-to-end neural speech-to-speech restoration system designed to convert whispered speech and dysarthric speech into clear, natural, intelligible voice output. The authors…

  speech accessibility · dysarthria · voice conversion · whispered speech · silent speech

• Self-supervised learning using unlabeled speech with multiple types of speech disorder for disordered speech recognition

  Ryoichi Takashima, Takeru Otani, Ryo Aihara, Tetsuya Takiguchi, Shinya Taguchi · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper tackles a critical barrier in accessible speech technology: automatic speech recognition (ASR) systems perform poorly for people with speech disorders because they are trained almost exclusively on typical speech. The authors from Kobe University and Mitsubishi…

  speech recognition · speech disorders · machine learning · self-supervised learning · assistive technology

• Fluent: An AI Augmented Writing Tool for People who Stutter

  Bhavya Ghai, Klaus Mueller · 2021 · The 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2021)

  This paper presents Fluent, a novel AI-powered writing tool designed to help people who stutter (PWS) prepare scripts and written content that they can deliver more fluently. Over 70 million people worldwide stutter, and a common coping strategy is word substitution — replacing…

  stuttering · speech disorders · machine learning · active learning · natural language processing

• SpeechOmeter: Heads-up Monitoring to Improve Speech Clarity

  Mansoor Pervaiz, Rupal Patel · 2014 · Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS '14)

  This demonstration paper presents SpeechOmeter, a Google Glass application that provides real-time visual biofeedback on vocal loudness to help individuals with neuromotor speech disorders (dysarthria) speak more clearly during daily conversation. Dysarthria accompanies…

  speech disorders · dysarthria · speech therapy · wearable technology · biofeedback

• Automatic Babble Recognition for Early Detection of Speech Related Disorders

  Harriet J. Fell, Joel MacAuslan, Karen Chenausky, Linda J. Ferrier · 1998 · Proceedings of the Third International ACM Conference on Assistive Technologies (Assets '98)

  This paper presents the Early Vocalization Analyzer (EVA), a program that automatically analyzes digitized recordings of infant babbling to detect syllable boundaries, with the goal of screening infants who may be at risk for later communication problems. The research is…

  early intervention · speech technology · child development · speech disorders · babbling

5 results.