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03/31/2022
An Empirical Study of Language Model Integration for Transducer based Speech Recognition
Utilizing text-only data with an external language model (LM) in end-to-...
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03/31/2022
CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR
History and future contextual information are known to be important for ...
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03/31/2022
Exploiting Single-Channel Speech for Multi-Channel End-to-End Speech Recognition: A Comparative Study
Recently, the end-to-end training approach for multi-channel ASR has sho...
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07/11/2021
Multilingual and crosslingual speech recognition using phonological-vector based phone embeddings
The use of phonological features (PFs) potentially allows language-speci...
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04/30/2021
Deformable TDNN with adaptive receptive fields for speech recognition
Time Delay Neural Networks (TDNNs) are widely used in both DNN-HMM based...
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11/13/2020
The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines
Automatic speech recognition (ASR) has been significantly advanced with ...
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11/11/2020
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients
Neural Architecture Search (NAS), the process of automating architecture...
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05/27/2020
CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency
In this paper, we present a new open source toolkit for speech recogniti...
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11/20/2019