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Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization ...
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Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation ...
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Self-Guided Curriculum Learning for Neural Machine Translation ...
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Arabic Speech Recognition by End-to-End, Modular Systems and Human ...
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Abstract:
Recent advances in automatic speech recognition (ASR) have achieved accuracy levels comparable to human transcribers, which led researchers to debate if the machine has reached human performance. Previous work focused on the English language and modular hidden Markov model-deep neural network (HMM-DNN) systems. In this paper, we perform a comprehensive benchmarking for end-to-end transformer ASR, modular HMM-DNN ASR, and human speech recognition (HSR) on the Arabic language and its dialects. For the HSR, we evaluate linguist performance and lay-native speaker performance on a new dataset collected as a part of this study. For ASR the end-to-end work led to 12.5%, 27.5%, 33.8% WER; a new performance milestone for the MGB2, MGB3, and MGB5 challenges respectively. Our results suggest that human performance in the Arabic language is still considerably better than the machine with an absolute WER gap of 3.5% on average. ...
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Keyword:
Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD
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URL: https://arxiv.org/abs/2101.08454 https://dx.doi.org/10.48550/arxiv.2101.08454
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Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec ...
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Leveraging Pre-trained Language Model for Speech Sentiment Analysis ...
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End-to-end ASR to jointly predict transcriptions and linguistic annotations ...
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Differentiable Allophone Graphs for Language-Universal Speech Recognition ...
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Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021 ...
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CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings
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In: CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments ; https://hal.inria.fr/hal-02546993 ; CHiME 2020 - 6th International Workshop on Speech Processing in Everyday Environments, May 2020, Barcelona / Virtual, Spain (2020)
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A Comparative Study on Transformer vs RNN in Speech Applications ...
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Towards Online End-to-end Transformer Automatic Speech Recognition ...
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The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines
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In: Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-01744021 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India (2018)
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Analysis of Multilingual Sequence-to-Sequence speech recognition systems ...
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Language model integration based on memory control for sequence to sequence speech recognition ...
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