2 papers
eess.AS2024
SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies
Jiachen Lian, Xuanru Zhou, Zoe Ezzes +6
Speech is a hierarchical collection of text, prosody, emotions, dysfluencies, etc. Automatic transcription of speech that goes beyond text (words) is an underexplored problem. We f…
eess.AS2024
SSDM: Scalable Speech Dysfluency Modeling
Jiachen Lian, Xuanru Zhou, Zoe Ezzes +6
Speech dysfluency modeling is the core module for spoken language learning, and speech therapy. However, there are three challenges. First, current state-of-the-art solutions\cite{…