7 citations · 10 across the 9 of their papers we have counts for
9 papers
Transsion TSUP's speech recognition system for ASRU 2023 MADASR Challenge
Xiaoxiao Li, Gaosheng Zhang, An Zhu +4
This paper presents a speech recognition system developed by the Transsion Speech Understanding Processing Team (TSUP) for the ASRU 2023 MADASR Challenge. The system focuses on ada…
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…
Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition
Xiaoyu Yang, Qiujia Li, Chao Zhang +1
Although large foundation models pre-trained by self-supervised learning have achieved state-of-the-art performance in many tasks including automatic speech recognition (ASR), know…
Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation
Liyong Guo, Xiaoyu Yang, Quandong Wang +9
Knowledge distillation(KD) is a common approach to improve model performance in automatic speech recognition (ASR), where a student model is trained to imitate the output behaviour…
Delay-penalized transducer for low-latency streaming ASR
Wei Kang, Zengwei Yao, Fangjun Kuang +5
In streaming automatic speech recognition (ASR), it is desirable to reduce latency as much as possible while having minimum impact on recognition accuracy. Although a few existing…
Fast and parallel decoding for transducer
Wei Kang, Liyong Guo, Fangjun Kuang +6
The transducer architecture is becoming increasingly popular in the field of speech recognition, because it is naturally streaming as well as high in accuracy. One of the drawbacks…
TSUP Speaker Diarization System for Conversational Short-phrase Speaker Diarization Challenge
Bowen Pang, Huan Zhao, Gaosheng Zhang +5
This paper describes the TSUP team's submission to the ISCSLP 2022 conversational short-phrase speaker diarization (CSSD) challenge which particularly focuses on short-phrase conve…
Knowledge Distillation for Neural Transducers from Large Self-Supervised Pre-trained Models
Xiaoyu Yang, Qiujia Li, Philip C. Woodland
Self-supervised pre-training is an effective approach to leveraging a large amount of unlabelled data to reduce word error rates (WERs) of automatic speech recognition (ASR) system…