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Jih-Wan Lee

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#natural language process... Preprint Oct 2026

Mitigating Accent-Language Confusion in Self-Supervised Speech Representations for Language Identification

Spoken language identification (LID) aims to recognize the target language regardless of accent. In practice, however, LID models fine-tuned from self-supervised speech representations frequently confuse accents with languages, misclassifying non-native (L2) speech as the speaker's first language (L1). We show that non...

Minu Kim, Jih-Wan Lee, David R. Mortensen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MyoCodec: A Streaming Neural Codec for Electromyography

The discrete token representation provided by MyoCodec has the potential to support integration into language-model based approaches, creating a path toward LLM-based interactive systems, where tokenized EMG representations are directly processed into such language or speech models.

Jih-Wan Lee, Kleanthis Avramidis, Junhyeok Lee et al. · 0 citations

Reconstruct! Don't Encode: Self-Supervised Representation Reconstruction Loss for High-Intelligibility and Low-Latency Streaming Neural Audio Codec

It is demonstrated that self-supervised representation reconstruction (SSRR) loss fundamentally improves codec training and performance, and enhances intelligibility by reconstructing distilled self-supervised representations from codec outputs.

Junhyeok Lee, Xiluo He, Jihwan Lee et al. · 2 citations

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