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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • 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

  • Automated Class Discovery and One-Shot Interactions for Acoustic Activity Recognition

    Jason Wu, Chris Harrison, Jeffrey P. Bigham, Gierad Laput · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20)

    This paper presents Listen Learner, an end-to-end system for acoustic activity recognition that automatically discovers and learns to classify environmental sounds with minimal user effort. Traditional approaches to sound recognition face a tradeoff: custom models trained in a…

    acoustic activity recognition · smart home · machine learning · Internet of Things · context awareness

2 results.