4 citations · 9 across the 12 of their papers we have counts for
5 papers · 1 filter
Low-Resourced Speech Recognition for Iu Mien Language via Weakly-Supervised Phoneme-based Multilingual Pre-training
Lukuan Dong, Donghong Qin, Fengbo Bai +4
The mainstream automatic speech recognition (ASR) technology usually requires hundreds to thousands of hours of annotated speech data. Three approaches to low-resourced ASR are pho…
CUSIDE-T: Chunking, Simulating Future and Decoding for Transducer based Streaming ASR
Wenbo Zhao, Ziwei Li, Chuan Yu +1
Streaming automatic speech recognition (ASR) is very important for many real-world ASR applications. However, a notable challenge for streaming ASR systems lies in balancing operat…
CUSIDE-array: A Streaming Multi-Channel End-to-End Speech Recognition System with Realistic Evaluations
Xiangzhu Kong, Tianqi Ning, Hao Huang +1
Recently multi-channel end-to-end (ME2E) ASR systems have emerged. While streaming single-channel end-to-end ASR has been extensively studied, streaming ME2E ASR is limited in expl…
Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition via Weakly Phonetic Supervision
Saierdaer Yusuyin, Te Ma, Hao Huang +2
There exist three approaches for multilingual and crosslingual automatic speech recognition (MCL-ASR) - supervised pretraining with phonetic or graphemic transcription, and self-su…
Energy-Based Models with Applications to Speech and Language Processing
Zhijian Ou
Energy-Based Models (EBMs) are an important class of probabilistic models, also known as random fields and undirected graphical models. EBMs are un-normalized and thus radically di…