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eess.AS2025
Phoneme-based speech recognition driven by large language models and sampling marginalization
Te Ma, Nanjie Li, Hao Huang +1
Recently, the Large Language Model-based Phoneme-to-Grapheme (LLM-P2G) method has shown excellent performance in speech recognition tasks and has become a feasible direction to rep…
eess.AS2025
Pronunciation-Lexicon Free Training for Phoneme-based Crosslingual ASR via Joint Stochastic Approximation
Saierdaer Yusuyin, Te Ma, Hao Huang +1
Recently, pre-trained models with phonetic supervision have demonstrated their advantages for crosslingual speech recognition in data efficiency and information sharing across lang…
eess.AS2025
Lightweight and Robust Multi-Channel End-to-End Speech Recognition with Spherical Harmonic Transform
Xiangzhu Kong, Huang Hao, Zhijian Ou
This paper presents SHTNet, a lightweight spherical harmonic transform (SHT) based framework, which is designed to address cross-array generalization challenges in multi-channel au…