DisSpeech synthesizes controllable stuttered Mandarin speech via discrete tokens and stuttering event labels to augment ASR datasets, improving recognition to 4.19% CER on stuttered tasks with minimal impact on fluent speech.
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Cripping AI is a proposed framework that dismantles ableist assumptions in AI by centering disabled ways of knowing and respecting disabled labor in co-creation.
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DisSpeech: Low-Resource Controllable Mandarin Stuttered Speech Synthesis for ASR Augmentation
DisSpeech synthesizes controllable stuttered Mandarin speech via discrete tokens and stuttering event labels to augment ASR datasets, improving recognition to 4.19% CER on stuttered tasks with minimal impact on fluent speech.
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Cripping AI: Reimagining AI Through Lived Disability Experiences
Cripping AI is a proposed framework that dismantles ableist assumptions in AI by centering disabled ways of knowing and respecting disabled labor in co-creation.