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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Long-Span Summarization via Local Attention and Content Selection ...
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Long-span summarization via local attention and content selection
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Manakul, Potsawee; Gales, Mark. - : ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2021
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Complementary Systems for Off-Topic Spoken Response Detection ...
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Automatic detection of accent and lexical pronunciation errors in spontaneous non-native English speech ...
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Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems ...
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Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems
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Knill, Katherine; Wang, L; Wang, Y. - : ISCA, 2020. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020
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Complementary Systems for Off-Topic Spoken Response Detection
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Raina, Vatsal; Gales, Mark; Knill, Katherine. - : Association for Computational Linguistics, 2020. : https://aclanthology.org/volumes/2020.bea-1/, 2020. : INNOVATIVE USE OF NLP FOR BUILDING EDUCATIONAL APPLICATIONS, 2020
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Impact of ASR performance on free speaking language assessment ...
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Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription ...
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Phonetic and graphemic systems for multi-genre broadcast transcription ...
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Phonetic and graphemic systems for multi-genre broadcast transcription
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Wang, Yu; Chen, X; Gales, Mark. - : IEEE, 2018. : https://ieeexplore.ieee.org/document/8462353, 2018. : ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2018
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Impact of ASR performance on free speaking language assessment
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Student-teacher training with diverse decision tree ensembles ...
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Abstract:
Student-teacher training allows a large teacher model or ensemble of teachers to be compressed into a single student model, for the purpose of efficient decoding. However, current approaches in automatic speech recognition assume that the state clusters, often defined by Phonetic Decision Trees (PDT), are the same across all models. This limits the diversity that can be captured within the ensemble, and also the flexibility when selecting the complexity of the student model output. This paper examines an extension to student-teacher training that allows for the possibility of having different PDTs between teachers, and also for the student to have a different PDT from the teacher. The proposal is to train the student to emulate the logical context dependent state posteriors of the teacher, instead of the frame posteriors. This leads to a method of mapping frame posteriors from one PDT to another. This approach is evaluated on three speech recognition tasks: the Tok Pisin and Javanese low resource ...
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URL: https://www.repository.cam.ac.uk/handle/1810/295150 https://dx.doi.org/10.17863/cam.16991
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Use of graphemic lexicons for spoken language assessment ...
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Student-teacher training with diverse decision tree ensembles
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Wong, Jeremy; Gales, Mark. - : ISCA, 2017. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2017
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Incorporating uncertainty into deep learning for spoken language assessment
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Malinin, Andrey; Ragni, Anton; Knill, Katherine. - : Association for Computational Linguistics, 2017. : ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2017
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