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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 74 1 Challenges and responses: A Complex Dynamic Systems approach to exploring language teacher agency in a blended classroom Qi, GY; Wang, Y. - : The JALT CALL SIG, 2022 BASE Show details 2 Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding Cao, R; Wang, Y; Liang, Y. - : Association for Computational Linguistics, 2022 BASE Show details 3 Eliciting positive emotion through strategic responses to COVID-19 crisis: evidence from the tourism sector Li, S.; Wang, Y.; Filieri, R.. - : Elsevier, 2022 BASE Show details 4 Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach Hajiheydari, N.; Delgosha, M.S.; Wang, Y.. - : Emerald, 2021 BASE Show details 5 Voice for oneself: Self-interested voice and its antecedents and consequences Duan, J; Xu, Y; Wang, X. - : Wiley, 2021 BASE Show details 6 The trans-ancestral genomic architecture of glycemic traits Chen, J; Spracklen, CN; Marenne, G. - : Nature Research, 2021 BASE Show details 7 The trans-ancestral genomic architecture of glycemic traits. Chen, J; Spracklen, CN; Marenne, G. - 2021 BASE Show details 8 Into the Real World: Autonomous and Integrated Chinese Language Learning Through a 3D Immersive Experience Wang, Y; Grist, M; Grant, S. - : Springer, 2021 BASE Show details 9 The trans-ancestral genomic architecture of glycemic traits. Chen, J.; Spracklen, C.N.; Marenne, G.... In: Nature genetics, vol. 53, no. 6, pp. 840-860 (2021) BASE Show details 10 Finding my voice: an interdisciplinary and multi-methodological investigation into the relationship between performers’ speech and musical expression Wang, Y.. - 2020 BASE Show details 11 Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems ... Knill, Katherine; Wang, L; Wang, Y. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 12 Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems Knill, Katherine; Wang, L; Wang, Y. - : ISCA, 2020. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020 BASE Show details 13 Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV Sirunyan, A. M.; Tumasyan, A.; Adam, W.... In: Eur Phys J C Part Fields (2020) BASE Show details 14 Enhancing the learning of multi-level undergraduate Chinese language with a 3D immersive experience - an exploratory study Wang, Y; Grant, S; Grist, M. - : Routledge, 2020 BASE Show details 15 Internal Meanings of the Language in Russian-Chinese Translation ... : Передача внутрилингвистических значений в русско-китайском переводе ... Wang, Y.. - : ООО «Книжный дом», 2019 BASE Show details 16 Exploiting future word contexts in neural network language models for speech recognition Chen, X.; Liu, X.; Wang, Y.. - : Institute of Electrical and Electronics Engineers (IEEE), 2019 BASE Show details 17 Impact of ASR performance on free speaking language assessment ... Knill, Katherine; Gales, Mark; Kyriakopoulos, Konstantinos. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 18 Phonetic and graphemic systems for multi-genre broadcast transcription Wang, Y.; Chen, X.; Gales, M.J.F.; Ragni, A.; Wong, J.H.M.. - : IEEE, 2018 Abstract: State-of-the-art English automatic speech recognition systems typically use phonetic rather than graphemic lexicons. Graphemic systems are known to perform less well for English as the mapping from the written form to the spoken form is complicated. However, in recent years the representational power of deep-learning based acoustic models has improved, raising interest in graphemic acoustic models for English, due to the simplicity of generating the lexicon. In this paper, phonetic and graphemic models are compared for an English Multi-Genre Broadcast transcription task. A range of acoustic models based on lattice-free MMI training are constructed using phonetic and graphemic lexicons. For this task, it is found that having a long-span temporal history reduces the difference in performance between the two forms of models. In addition, system combination is examined, using parameter smoothing and hypothesis combination. As the combination approaches become more complicated the difference between the phonetic and graphemic systems further decreases. Finally, for all configurations examined the combination of phonetic and graphemic systems yields consistent gains. URL: http://eprints.whiterose.ac.uk/150522/1/draft.pdf http://eprints.whiterose.ac.uk/150522/ BASE Hide details 19 Impact of ASR performance on free speaking language assessment Knill, K.; Gales, M.; Kyriakopoulos, K.. - : International Speech Communication Association (ISCA), 2018 BASE Show details 20 Future word contexts in neural network language models Chen, X.; Liu, X.; Ragni, A.. - : IEEE, 2018 BASE Show details Page: 1 2 3 4

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