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eess.AS2026
GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model
Haoyang Li, Xuyi Zhuang, Azmat Adnan +6
Language Model (LM)-based generative modeling has emerged as a promising direction for TSE, offering potential for improved generalization and high-fidelity speech. We propose GenT…
eess.AS2026
Improving Code-Switching Speech Recognition with TTS Data Augmentation
Yue Heng Yeo, Yuchen Hu, Shreyas Gopal +3
Automatic speech recognition (ASR) for conversational code-switching speech remains challenging due to the scarcity of realistic, high-quality labeled speech data. This paper explo…
eess.AS2025
Speechless: Speech Instruction Training Without Speech for Low Resource Languages
Alan Dao, Dinh Bach Vu, Huy Hoang Ha +6
The rapid growth of voice assistants powered by large language models (LLM) has highlighted a need for speech instruction data to train these systems. Despite the abundance of spee…