Search Results - "Luo, Ne"
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A Further Study of Unsupervised Pretraining for Transformer Based Speech Recognition
Published in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (06-06-2021)“…The construction of an effective good speech recognition system typically requires large amounts of transcribed data, which is expensive to collect. To…”
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Conference Proceeding -
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Didispeech: A Large Scale Mandarin Speech Corpus
Published in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (06-06-2021)“…This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from…”
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Conference Proceeding -
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Mutual-optimization Towards Generative Adversarial Networks For Robust Speech Recognition
Published in 2018 24th International Conference on Pattern Recognition (ICPR) (01-08-2018)“…In the context of Automatic Speech Recognition (ASR), improving the noise robustness remains an intractable task. Speech enhancement, combined with Generative…”
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Conference Proceeding -
4
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition
Published 20-05-2020“…Building a good speech recognition system usually requires large amounts of transcribed data, which is expensive to collect. To tackle this problem, many…”
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Journal Article -
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Improving Transformer-based Speech Recognition Using Unsupervised Pre-training
Published 22-10-2019“…Speech recognition technologies are gaining enormous popularity in various industrial applications. However, building a good speech recognition system usually…”
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Journal Article -
6
DiDiSpeech: A Large Scale Mandarin Speech Corpus
Published 19-10-2020“…This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from…”
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Journal Article -
7
Towards End-to-End Code-Switching Speech Recognition
Published 30-10-2018“…Code-switching speech recognition has attracted an increasing interest recently, but the need for expert linguistic knowledge has always been a big issue…”
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Journal Article