From the 1 of 15 linked papers with an AI index.
15 papers
An Empirical Recipe for Universal Phone Recognition
Shikhar Bharadwaj, Chin-Jou Li, Kwanghee Choi +4
The paper introduces PhoneticXEUS, a multilingual phone recognition system trained on large-scale data that achieves state-of-the-art error rates on both many languages and accente…
PRiSM: Benchmarking Phone Realization in Speech Models
Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim +13
Phone recognition (PR) serves as the atomic interface for language-agnostic modeling for cross-lingual speech processing and phonetic analysis. Despite prolonged efforts in develop…
Phone Segmentation and Recognition through Phonological Activation Mapping
Shikhar Bharadwaj, Kwanghee Choi, Stephen McIntosh +8
Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separately. We argue that phonetic structure is already latent in the re…
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
Abner Hernandez, Eunjung Yeo, Kwanghee Choi +12
The limited availability of dysarthric speech data makes cross-lingual detection an important but challenging problem. A key difficulty is that speech representations often encode…
[b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic
Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho +2
Self-supervised speech models (S3Ms) are known to encode rich phonetic information, yet how this information is structured remains underexplored. We conduct a comprehensive study a…
Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations
Haitong Sun, Stephen McIntosh, Kwanghee Choi +3
Speech representations from self-supervised speech models (S3Ms) are known to be sensitive to phonemic contrasts, but their sensitivity to prosodic contrasts has not been directly…