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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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Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec ...
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Abstract:
"Transcription bottlenecks", created by a shortage of effective human transcribers are one of the main challenges to endangered language (EL) documentation. Automatic speech recognition (ASR) has been suggested as a tool to overcome such bottlenecks. Following this suggestion, we investigated the effectiveness for EL documentation of end-to-end ASR, which unlike Hidden Markov Model ASR systems, eschews linguistic resources but is instead more dependent on large-data settings. We open source a Yoloxóchitl Mixtec EL corpus. First, we review our method in building an end-to-end ASR system in a way that would be reproducible by the ASR community. We then propose a novice transcription correction task and demonstrate how ASR systems and novice transcribers can work together to improve EL documentation. We believe this combinatory methodology would mitigate the transcription bottleneck and transcriber shortage that hinders EL documentation. ... : Accepted by EACL2021 ...
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Keyword:
Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
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URL: https://dx.doi.org/10.48550/arxiv.2101.10877 https://arxiv.org/abs/2101.10877
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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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