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Speech segmentation
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#	Item
81	Microsoft Word - tsd99.doc Add to Reading List Source URL: www.speech.com.ua Language: English - Date: 2007-10-15 10:53:55 Automatic identification and data capture Computer accessibility Speech recognition Dynamic time warping Segmentation Science Sampling Statistics Speech perception Computational linguistics Phonetics Linguistics
82	A SCALABLE VIDEO SEARCH ENGINE BASED ON AUDIO CONTENT INDEXING AND TOPIC SEGMENTATION Julien LawTo1, Jean-Luc Gauvain2, Lori Lamel2, Gregory Grefenstette1, Guillaume Gravier3, Julien Despres4, Camille Guinaudeau3, Pascal Add to Reading List Source URL: www.vocapia.com Language: English - Date: 2011-12-16 07:35:54 Information retrieval Speech recognition Internet search engines Natural language processing Video search engine Text segmentation Search engine indexing Text Retrieval Conference Vocapia Research Information science Science Computational linguistics
83	Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis Graham Neubig, Yosuke Nakata, Shinsuke Mori Graduate School of Informatics, Kyoto University Yoshida Honmachi, Sakyo-ku, Kyoto, Japan Add to Reading List Source URL: www.phontron.com Language: English - Date: 2012-03-21 10:51:13 Semantics Natural language processing Machine learning Word-sense disambiguation Conditional random field Part-of-speech tagging Text segmentation Annotation Pointwise Linguistics Computational linguistics Science
84	Unsupervised word segmentation for Sesotho using Adaptor Grammars Mark Johnson Brown University Mark Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-15 08:41:11 Computational linguistics Grammar Speech recognition Compiler construction Natural language processing Parsing Morpheme Stochastic context-free grammar Context-free grammar Linguistics Science Formal languages
85	➠ ➡ Refining Segmental Boundaries for TTS Database Using Fine ContextualDependent Boundary Models Lijuan Wang1, Yong Zhao2, Min Chu2, Jianlai Zhou2 and Zhigang Cao1 1 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:28 Segmentation Speech recognition Hidden Markov model Humanâ€“computer interaction Decision tree learning Speech synthesis Speech segmentation Computational linguistics Science Artificial intelligence
86	Issue N° 12 / March 2007 Editor : Patrick Tacchini, Newsletter COVER STORY Add to Reading List Source URL: www.amiproject.org Language: English - Date: 2009-01-21 05:42:44 Humanâ€“computer interaction Idiap Research Institute Ambient intelligence Speaker diarisation Multimodal interaction Segmentation Science Computing Computational linguistics Speech recognition Interactive Multimodal Information Management
87	Chinese Word Ordering Errors Detection and Correction for Non-Native Chinese Language Learners Shuk-Man Cheng, Chi-Hsin Yu, Hsin-Hsi Chen Department of Computer Science and Information Engineering National Taiwan Univers Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:43 Machine translation Natural language processing Speech recognition Text segmentation Word order Error detection and correction Chinese language Error Statistical machine translation Linguistics Syntax Computational linguistics
88	A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling Scott Cyphers, Jim Glass Iman Saleh∗, Shafiq Joty, Llu´ıs M`arquez, MIT CSAIL Alessandro Moschitti, Preslav Nakov Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:28 Linguistics Computational linguistics Statistical classification Speech recognition Machine learning Kernel Linux kernel N-gram Syntactic Structures Science Natural language processing Statistics
89	PDF Document Add to Reading List Source URL: dan-blanchard.github.io Language: English - Date: 2015-03-20 15:28:19 Computational linguistics Phonology Speech recognition Phonotactics Bigram N-gram Speech segmentation Language model Methylbenzodioxolylpentanamine Linguistics Natural language processing Science
90	EUROSPEECHGENEVA A Comparative Study on Maximum Entropy and Discriminative Training for Acoustic Modeling in Automatic Speech Recognition Wolfgang Macherey and Hermann Ney Lehrstuhl f¨ur Informatik VI, Computer Add to Reading List Source URL: www.isca-speech.org Language: English - Date: 2009-09-21 06:28:13 Statistical classification Computer accessibility Speech recognition Maximum-entropy Markov model Pattern recognition Mutual information Linear discriminant analysis Log-linear model Segmentation Statistics Markov models Machine learning