28 citations · 49 across the 34 of their papers we have counts for
7 papers · 1 filter
Zipformer: A faster and better encoder for automatic speech recognition
Zengwei Yao, Liyong Guo, Xiaoyu Yang +6
The Conformer has become the most popular encoder model for automatic speech recognition (ASR). It adds convolution modules to a transformer to learn both local and global dependen…
Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context
Wei Kang, Xiaoyu Yang, Zengwei Yao +5
In this paper, we introduce Libriheavy, a large-scale ASR corpus consisting of 50,000 hours of read English speech derived from LibriVox. To the best of our knowledge, Libriheavy i…
Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer
Peng Wang, Yifan Yang, Zheng Liang +3
Despite advancements of end-to-end (E2E) models in speech recognition, named entity recognition (NER) is still challenging but critical for semantic understanding. Previous studies…
PromptASR for contextualized ASR with controllable style
Xiaoyu Yang, Wei Kang, Zengwei Yao +5
Prompts are crucial to large language models as they provide context information such as topic or logical relationships. Inspired by this, we propose PromptASR, a framework that in…
Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS
Yifan Yang, Feiyu Shen, Chenpeng Du +4
Self-supervised learning (SSL) proficiency in speech-related tasks has driven research into utilizing discrete tokens for speech tasks like recognition and translation, which offer…
Blank-regularized CTC for Frame Skipping in Neural Transducer
Yifan Yang, Xiaoyu Yang, Liyong Guo +6
Neural Transducer and connectionist temporal classification (CTC) are popular end-to-end automatic speech recognition systems. Due to their frame-synchronous design, blank symbols…
Delay-penalized CTC implemented based on Finite State Transducer
Zengwei Yao, Wei Kang, Fangjun Kuang +5
Connectionist Temporal Classification (CTC) suffers from the latency problem when applied to streaming models. We argue that in CTC lattice, the alignments that can access more fut…