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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 Hits 1 – 20 of 28 1 Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model ... Li, Bo; Sainath, Tara N.; Sim, Khe Chai. - : arXiv, 2017 BASE Show details 2 Detection of the Prodromal Phase of Bipolar Disorder from Psychological and Phonological Aspects in Social Media ... Huang, Yen-Hao; Wei, Lin-Hung; Chen, Yi-Shin. - : arXiv, 2017 BASE Show details 3 AP17-OLR Challenge: Data, Plan, and Baseline ... Tang, Zhiyuan; Wang, Dong; Chen, Yixiang. - : arXiv, 2017 BASE Show details 4 Additional file 1: of New insights on serodiagnosis of trichinellosis during window period: early diagnostic antigens from Trichinella spiralis intestinal worms ... Wang, Zhong-Quan; Shi, Ya-Li; Rou-Dan Liu. - : Figshare, 2017 BASE Show details 5 Additional file 1: of New insights on serodiagnosis of trichinellosis during window period: early diagnostic antigens from Trichinella spiralis intestinal worms ... Wang, Zhong-Quan; Shi, Ya-Li; Rou-Dan Liu. - : Figshare, 2017 BASE Show details 6 Video Captioning with Guidance of Multimodal Latent Topics ... Chen, Shizhe; Chen, Jia; Jin, Qin. - : arXiv, 2017 BASE Show details 7 Understanding the Changing Roles of Scientific Publications via Citation Embeddings ... He, Jiangen; Chen, Chaomei. - : arXiv, 2017 BASE Show details 8 Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning ... Chen, Hongge; Zhang, Huan; Chen, Pin-Yu. - : arXiv, 2017 BASE Show details 9 Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation ... Zhou, Ganbin; Luo, Ping; Cao, Rongyu. - : arXiv, 2017 BASE Show details 10 A Scalable and Adaptive Method for Finding Semantically Equivalent Cue Words of Uncertainty ... Chen, Chaomei; Song, Ming; Heo, Go Eun. - : arXiv, 2017 BASE Show details 11 Discover and Learn New Objects from Documentaries ... Chen, Kai; Song, Hang; Loy, Chen Change. - : arXiv, 2017 BASE Show details 12 A Semantic QA-Based Approach for Text Summarization Evaluation ... Chen, Ping; Wu, Fei; Wang, Tong. - : arXiv, 2017 BASE Show details 13 Adversarial Multi-Criteria Learning for Chinese Word Segmentation ... Chen, Xinchi; Shi, Zhan; Qiu, Xipeng. - : arXiv, 2017 BASE Show details 14 Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions ... Shen, Jonathan; Pang, Ruoming; Weiss, Ron J.. - : arXiv, 2017 BASE Show details 15 A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots ... Wu, Yu; Wu, Wei; Xing, Chen. - : arXiv, 2017 BASE Show details 16 Phonetic Temporal Neural Model for Language Identification ... Tang, Zhiyuan; Wang, Dong; Chen, Yixiang. - : arXiv, 2017 BASE Show details 17 Phone-aware Neural Language Identification ... Tang, Zhiyuan; Wang, Dong; Chen, Yixiang. - : arXiv, 2017 BASE Show details 18 End-to-End Attention based Text-Dependent Speaker Verification ... Zhang, Shi-Xiong; Chen, Zhuo; Zhao, Yong. - : arXiv, 2017 BASE Show details 19 Weakly Supervised Dense Video Captioning ... Shen, Zhiqiang; Li, Jianguo; Su, Zhou. - : arXiv, 2017 BASE Show details 20 No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models ... Sainath, Tara N.; Prabhavalkar, Rohit; Kumar, Shankar; Lee, Seungji; Kannan, Anjuli; Rybach, David; Schogol, Vlad; Nguyen, Patrick; Li, Bo; Wu, Yonghui; Chen, Zhifeng; Chiu, Chung-Cheng. - : arXiv, 2017 Abstract: For decades, context-dependent phonemes have been the dominant sub-word unit for conventional acoustic modeling systems. This status quo has begun to be challenged recently by end-to-end models which seek to combine acoustic, pronunciation, and language model components into a single neural network. Such systems, which typically predict graphemes or words, simplify the recognition process since they remove the need for a separate expert-curated pronunciation lexicon to map from phoneme-based units to words. However, there has been little previous work comparing phoneme-based versus grapheme-based sub-word units in the end-to-end modeling framework, to determine whether the gains from such approaches are primarily due to the new probabilistic model, or from the joint learning of the various components with grapheme-based units. In this work, we conduct detailed experiments which are aimed at quantifying the value of phoneme-based pronunciation lexica in the context of end-to-end models. We examine ... 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 stat.ML; Sound cs.SD URL: https://arxiv.org/abs/1712.01864 https://dx.doi.org/10.48550/arxiv.1712.01864 BASE Hide details Page: 1 2

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