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10/27/2022
Training Autoregressive Speech Recognition Models with Limited in-domain Supervision
Advances in self-supervised learning have significantly reduced the amou...
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10/29/2021
Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition
Recent advances in unsupervised representation learning have demonstrate...
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06/14/2021
Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts
Sequence-to-sequence (seq2seq) models are competitive with hybrid models...
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06/14/2021
Using heterogeneity in semi-supervised transcription hypotheses to improve code-switched speech recognition
Modeling code-switched speech is an important problem in automatic speec...
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05/01/2020
Learning from Noisy Labels with Noise Modeling Network
Multi-label image classification has generated significant interest in r...
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04/24/2020
Cross-lingual Information Retrieval with BERT
Multiple neural language models have been developed recently, e.g., BERT...
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09/18/2019