23 citations · 37 across the 40 of their papers we have counts for
7 papers · 1 filter
Logbook: Extremely Long-form Audio Event Understanding
Kwanghee Choi, Suwon Shon, Dmitriy Serdyuk +7
Audio benchmarks are built around short, pre-segmented clips, limiting model design to brief inputs or fixed vocabularies. To close this gap, we introduce Logbook, a benchmark for…
Language Orthogonalization of Self-Supervised Speech Representations for Cross-lingual Parkinson's Detection
Minu Kim, Eunjung Yeo, Kwanghee Choi +1
Self-supervised speech models (S3Ms) provide powerful representations for Parkinson's disease (PD) detection, making cross-lingual transfer attractive for languages lacking labeled…
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…
Self-Supervised Speech Models Encode Phonetic Context via Position-dependent Orthogonal Subspaces
Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho +2
Transformer-based self-supervised speech models (S3Ms) are often described as contextualized, yet what this entails remains unclear. Here, we focus on how a single frame-level S3M…
[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…
On-device Streaming Discrete Speech Units
Kwanghee Choi, Masao Someki, Emma Strubell +1
Discrete speech units (DSUs) are derived from clustering the features of self-supervised speech models (S3Ms). DSUs offer significant advantages for on-device streaming speech appl…
Discrete Speech Unit Extraction via Independent Component Analysis
Tomohiko Nakamura, Kwanghee Choi, Keigo Hojo +3
Self-supervised speech models (S3Ms) have become a common tool for the speech processing community, leveraging representations for downstream tasks. Clustering S3M representations…