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20142024
most citedParallel training of DNNs with Natural Gradient and Parameter Averaging

123 citations · 223 across the 12 of their papers we have counts for

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5 papers · 1 filter

eess.AS2024

On Speaker Attribution with SURT

Desh Raj, Matthew Wiesner, Matthew Maciejewski +3

The Streaming Unmixing and Recognition Transducer (SURT) has recently become a popular framework for continuous, streaming, multi-talker speech recognition (ASR). With advances in…

eess.AS20231 cited

Learning from Flawed Data: Weakly Supervised Automatic Speech Recognition

Dongji Gao, Hainan Xu, Desh Raj +3

Training automatic speech recognition (ASR) systems requires large amounts of well-curated paired data. However, human annotators usually perform "non-verbatim" transcription, whic…

eess.AS20232 cited

Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition

Han Zhu, Dongji Gao, Gaofeng Cheng +3

When labeled data is insufficient, semi-supervised learning with the pseudo-labeling technique can significantly improve the performance of automatic speech recognition. However, p…

eess.AS2023

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…

eess.AS2023

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…