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From the 1 of 13 linked papers with an AI index.

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20242026
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13 papers

cs.CL2026

Self-supervised Speech Comparison for L2 Phone, Rhythm, and Intonation Scoring

Stephen McIntosh, Reuben Smit, Daisuke Saito +2

The paper explores using dynamic time warping on self‑supervised WavLM speech representations to automatically score phonetic accuracy, rhythm, and intonation of L2 English and Jap…

eess.AS2026

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…

cs.CL2026

Speech Playground: An Interactive Tool for Speech Analysis and Comparison

Stephen McIntosh, Daisuke Saito, Nobuaki Minematsu

This paper presents Speech Playground, an interactive speech visualization and comparison tool. While existing tools such as Praat are excellent, it can be cumbersome to integrate…

cs.CL2026

Kanade: A Simple Disentangled Tokenizer for Spoken Language Modeling

Zhijie Huang, Stephen McIntosh, Daisuke Saito +1

A good language model starts with a good tokenizer. Tokenization is especially important for speech modeling, which must handle continuous signals that mix linguistic and non-lingu…

eess.AS2026

Beyond Acoustic Sparsity and Linguistic Bias: A Prompt-Free Paradigm for Mispronunciation Detection and Diagnosis

Haopeng Geng, Longfei Yang, Xi Chen +3

Mispronunciation Detection and Diagnosis (MDD) requires modeling fine-grained acoustic deviations. However, current ASR-derived MDD systems often face inherent limitations. In part…

cs.CL2026

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…