| { | |
| "paper_id": "O18-1000", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T08:09:50.423582Z" | |
| }, | |
| "title": "Honorary Chairs", | |
| "authors": [ | |
| { | |
| "first": "Mckeown", | |
| "middle": [], | |
| "last": "Kathleen", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Gertrude", | |
| "middle": [], | |
| "last": "Rothschild", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Jeremy", | |
| "middle": [], | |
| "last": "Lee", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Cheng-Zen", | |
| "middle": [], | |
| "last": "Yang", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Chen-Yu", | |
| "middle": [], | |
| "last": "Chiang", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Min-Yuh", | |
| "middle": [], | |
| "last": "Day", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Hong", | |
| "middle": [], | |
| "last": "Hocheng", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Jen-Tzung", | |
| "middle": [], | |
| "last": "Chien", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "-H", | |
| "middle": [], | |
| "last": "Tsai", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Wen-Hsiang", | |
| "middle": [], | |
| "last": "Lu", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Hung-Yi", | |
| "middle": [], | |
| "last": "Lee", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Gertrude", | |
| "middle": [], | |
| "last": "Henry", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Rothschild", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "R", | |
| "middle": [], | |
| "last": "Kathleen", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "", | |
| "middle": [], | |
| "last": "Mckeown", | |
| "suffix": "", | |
| "affiliation": {}, | |
| "email": "" | |
| } | |
| ], | |
| "year": "", | |
| "venue": null, | |
| "identifiers": {}, | |
| "abstract": "On behalf of the organization committee and program committee, it is our pleasure to welcome you to National Tsing Hua University (NTHU) in Hsinchu, Taiwan, for the 30th Conference on Computational Linguistics and Speech Processing (ROCLING), the flagship conference on computational linguistics, natural language processing, and speech processing in Taiwan. ROCLING is the annual conference of the Computational Linguistics and Chinese Language Processing (ACLCLP) which is held in autumn in different cities and universities in Taiwan. This year, we received 30 valid submissions, each of which was reviewed by at least three experts on the basis of originality, significance, technical soundness, and relevance to the conference. In total, we have 20 oral papers and 7 poster papers, which cover the areas including computational semantics, computational phonology, dialogue system, natural language generation, syntax and parsing, information retrieval, machine translation, NLP tools/applications, opinion mining and sentiment analysis, question answering, semantic processing, summarization, spoken language processing, speech synthesis/conversion, speech/speaker/language recognition, and speech enhancement. We are grateful to the contribution of the reviewers for their extraordinary efforts and valuable comments. ROCLING 2018 also features two distinguished lectures from the renowned speakers in natural language processing as well as speech processing.", | |
| "pdf_parse": { | |
| "paper_id": "O18-1000", | |
| "_pdf_hash": "", | |
| "abstract": [ | |
| { | |
| "text": "On behalf of the organization committee and program committee, it is our pleasure to welcome you to National Tsing Hua University (NTHU) in Hsinchu, Taiwan, for the 30th Conference on Computational Linguistics and Speech Processing (ROCLING), the flagship conference on computational linguistics, natural language processing, and speech processing in Taiwan. ROCLING is the annual conference of the Computational Linguistics and Chinese Language Processing (ACLCLP) which is held in autumn in different cities and universities in Taiwan. This year, we received 30 valid submissions, each of which was reviewed by at least three experts on the basis of originality, significance, technical soundness, and relevance to the conference. In total, we have 20 oral papers and 7 poster papers, which cover the areas including computational semantics, computational phonology, dialogue system, natural language generation, syntax and parsing, information retrieval, machine translation, NLP tools/applications, opinion mining and sentiment analysis, question answering, semantic processing, summarization, spoken language processing, speech synthesis/conversion, speech/speaker/language recognition, and speech enhancement. We are grateful to the contribution of the reviewers for their extraordinary efforts and valuable comments. ROCLING 2018 also features two distinguished lectures from the renowned speakers in natural language processing as well as speech processing.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Abstract", | |
| "sec_num": null | |
| } | |
| ], | |
| "body_text": [ | |
| { | |
| "text": "In 1985 she received a National Science Foundation Presidential Young Investigator Award, in 1991 she received a National Science Foundation Faculty Award for Women, in 1994 she was selected as a AAAI Fellow, in 2003 she was elected as an ACM Fellow, and in 2012 she was selected as one of the Founding Fellows of the Association for Computational Linguistics. In 2010, she received the Anita Borg Women of Vision Award in Innovation for her work on text summarization. McKeown is also quite active nationally. She has served as President, Vice President, and Secretary-Treasurer of the Association of Computational Linguistics. She has also served as a board member of the Computing Research Association and as secretary of the board.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Johns Hopkins University, Department of Electrical and Computer Engineering joint appointment in Center for Language and Speech Processing", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Prof. Shinji Watanabe", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Recently, the end-to-end automatic speech recognition (ASR) paradigm has attracted great research interest as an alternative to conventional hybrid paradigms with deep neural networks and hidden Markov models. Using this novel paradigm, we simplify ASR architecture by integrating such ASR components as acoustic, phonetic, and language models with a single neural network and optimize the overall components for the end-to-end ASR objective: generating a correct label sequence. This talk introduces extensions of this end-to-end architectures to tackle major problems of current ASR technologies in adverse environments including multilingual, multi-speaker, and distant-talk conditions. For multilingual issues, we fully exploit the advantage of eliminating the need for linguistic information such as pronunciation dictionaries in end-to-end ASR, and build a monolithic multilingual ASR system with a language-independent neural network architecture, which can recognize speech in 10 different languages. We also extend the end-to-end ASR system to deal with multi-speaker ASR where the system directly decodes multiple label sequences from a single speech sequence by unifying source separation and speech recognition functions in an end-to-end manner. Finally, we propose a unified architecture to encompass microphone-array signal processing such as a state-of-the-art neural beamformer within the end-to-end framework. This architecture allows speech enhancement and ASR components to be jointly optimized to improve the end-to-end", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Topic: Neural End-to-End Architectures for Speech Recognition in Adverse Environments Abstract", | |
| "sec_num": null | |
| } | |
| ], | |
| "back_matter": [], | |
| "bib_entries": {}, | |
| "ref_entries": {} | |
| } | |
| } |