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20222026
most citedEvidence of Vocal Tract Articulation in Self-Supervised Learning of Speech

16 citations · 30 across the 11 of their papers we have counts for

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7 papers · 1 filter

eess.AS2026

Sylber 2.0: A Universal Syllable Embedding

Cheol Jun Cho, Nicholas Lee, Alan W Black +1

Scaling spoken language modeling requires speech tokens that are both efficient and universal. Recent work has proposed syllables as promising speech tokens at low temporal resolut…

eess.AS2024

Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP

Yisi Liu, Bohan Yu, Drake Lin +3

Articulatory trajectories like electromagnetic articulography (EMA) provide a low-dimensional representation of the vocal tract filter and have been used as natural, grounded featu…

eess.AS2024★ 10 cited

Coding Speech through Vocal Tract Kinematics

Cheol Jun Cho, Peter Wu, Tejas S. Prabhune +2

Vocal tract articulation is a natural, grounded control space of speech production. The spatiotemporal coordination of articulators combined with the vocal source shapes intelligib…

eess.AS2023

Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection

Jiachen Lian, Carly Feng, Naasir Farooqi +7

Dysfluent speech modeling requires time-accurate and silence-aware transcription at both the word-level and phonetic-level. However, current research in dysfluency modeling primari…

eess.AS2023★ 1 cited

Self-Supervised Models of Speech Infer Universal Articulatory Kinematics

Cheol Jun Cho, Abdelrahman Mohamed, Alan W Black +1

Self-Supervised Learning (SSL) based models of speech have shown remarkable performance on a range of downstream tasks. These state-of-the-art models have remained blackboxes, but…

eess.AS2023★ 3 cited

Speaker-Independent Acoustic-to-Articulatory Speech Inversion

Peter Wu, Li-Wei Chen, Cheol Jun Cho +4

To build speech processing methods that can handle speech as naturally as humans, researchers have explored multiple ways of building an invertible mapping from speech to an interp…

eess.AS2022★ 16 cited

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech

Cheol Jun Cho, Peter Wu, Abdelrahman Mohamed +1

Recent self-supervised learning (SSL) models have proven to learn rich representations of speech, which can readily be utilized by diverse downstream tasks. To understand such util…