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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 Hits 1 – 11 of 11 1 Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis ... Wang, Zexun; Le, Yuquan; Zhu, Yi. - : arXiv, 2022 BASE Show details 2 Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis ... Xu, Guanghui; Song, Wei; Zhang, Zhengchen; Zhang, Chao; He, Xiaodong; Zhou, Bowen. - : arXiv, 2020 Abstract: Despite prosody is related to the linguistic information up to the discourse structure, most text-to-speech (TTS) systems only take into account that within each sentence, which makes it challenging when converting a paragraph of texts into natural and expressive speech. In this paper, we propose to use the text embeddings of the neighboring sentences to improve the prosody generation for each utterance of a paragraph in an end-to-end fashion without using any explicit prosody features. More specifically, cross-utterance (CU) context vectors, which are produced by an additional CU encoder based on the sentence embeddings extracted by a pre-trained BERT model, are used to augment the input of the Tacotron2 decoder. Two types of BERT embeddings are investigated, which leads to the use of different CU encoder structures. Experimental results on a Mandarin audiobook dataset and the LJ-Speech English audiobook dataset demonstrate the use of CU information can improve the naturalness and expressiveness of the ... : 5 pages, 4 figures ... Keyword: Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD URL: https://arxiv.org/abs/2011.05161 https://dx.doi.org/10.48550/arxiv.2011.05161 BASE Hide details 3 Speaker Diarization with Lexical Information ... Park, Tae Jin; Han, Kyu J.; Huang, Jing. - : arXiv, 2020 BASE Show details 4 Question-Answering with Grammatically-Interpretable Representations ... Palangi, Hamid; Smolensky, Paul; He, Xiaodong. - : arXiv, 2017 BASE Show details 5 Generating Natural Questions About an Image ... Mostafazadeh, Nasrin; Misra, Ishan; Devlin, Jacob. - : arXiv, 2016 BASE Show details 6 Language Models for Image Captioning: The Quirks and What Works ... Devlin, Jacob; Cheng, Hao; Fang, Hao. - : arXiv, 2015 BASE Show details 7 From Captions to Visual Concepts and Back ... Fang, Hao; Gupta, Saurabh; Iandola, Forrest. - : arXiv, 2014 BASE Show details 8 Large-margin minimum classification error training: a theoretical risk minimization perspective Yu, Dong; Deng, Li; Acero, Alex... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 22 (2008) 4, 415-429 BLLDB OLC Linguistik Show details 9 Discriminative learning for speech recognition : theory and practice He, Xiaodong; Deng, Li. - [San Rafael, Calif.] : Morgan & Claypool, 2008 UB Frankfurt Linguistik Show details 10 Prior knowledge guided maximum expected likelihood based model selection and adaptation for nonnative speech recognition Zhao, Yunxin; He, Xiaodong In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 21 (2007) 2, 247-265 BLLDB OLC Linguistik Show details 11 A NEW HYBRID STRUCTURE OF SPEECH RECOGNIZER BASED ON HMM AND NEURAL NETWORK Zhou Jianlai; He Xiaodong; Yu Tiecheng... In: http://research.microsoft.com/%7Exiaohe/publication/euro99zhou_pap.pdf BASE Show details

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