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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 32 1 Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification Wang, William Yang; Biadsy, Fadi; Rosenberg, Andrew... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 168-189 OLC Linguistik Show details 2 Intoxication Detection using Phonetic, Phonotactic and Prosodic Cues Rosenberg, Andrew; Wang, William Yang; Biadsy, Fadi. - : Proceedings of Interspeech 2011, 2011 BASE Show details 3 Automatic Dialect and Accent Recognition and its Application to Speech Recognition Biadsy, Fadi. - 2011 BASE Show details 4 Dialect and Accent Recognition using Phonetic-Segmentation Supervectors Ellis, Daniel P. W.; Hirschberg, Julia Bell; Biadsy, Fadi. - : Interspeech 2011, 2011 BASE Show details 5 Intoxication Detection using Phonetic, Phonotactic and Prosodic Cues ... Biadsy, Fadi; Wang, William Yang; Rosenberg, Andrew. - : Columbia University, 2011 BASE Show details 6 Automatic Dialect and Accent Recognition and its Application to Speech Recognition ... Biadsy, Fadi. - : Columbia University, 2011 Abstract: A fundamental challenge for current research on speech science and technology is understanding and modeling individual variation in spoken language. Individuals have their own speaking styles, depending on many factors, such as their dialect and accent as well as their socioeconomic background. These individual differences typically introduce modeling difficulties for large-scale speaker-independent systems designed to process input from any variant of a given language. This dissertation focuses on automatically identifying the dialect or accent of a speaker given a sample of their speech, and demonstrates how such a technology can be employed to improve Automatic Speech Recognition (ASR). In this thesis, we describe a variety of approaches that make use of multiple streams of information in the acoustic signal to build a system that recognizes the regional dialect and accent of a speaker. In particular, we examine frame-based acoustic, phonetic, and phonotactic features, as well as high-level prosodic ... Keyword: Computer science URL: https://dx.doi.org/10.7916/d8m61s68 https://academiccommons.columbia.edu/doi/10.7916/D8M61S68 BASE Hide details 7 Dialect and Accent Recognition using Phonetic-Segmentation Supervectors ... Biadsy, Fadi; Hirschberg, Julia Bell; Ellis, Daniel P. W.. - : Columbia University, 2011 BASE Show details 8 Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers: Presentation Slides Biadsy, Fadi; Soltau, Hagen; Mangu, Lidia. - : Odyssey 2010, The Speaker and Language Recognition Workshop, 2010 BASE Show details 9 Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel: Presentation Slides Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Interspeech 2010, 2010 BASE Show details 10 Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers Soltau, Hagen; Hirschberg, Julia Bell; Biadsy, Fadi. - : Odyssey 2010, The Speaker and Language Recognition Workshop, 2010 BASE Show details 11 Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Interspeech 2010, 2010 BASE Show details 12 Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel: Presentation Slides ... Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Columbia University, 2010 BASE Show details 13 Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel ... Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Columbia University, 2010 BASE Show details 14 Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers ... Biadsy, Fadi; Soltau, Hagen; Mangu, Lidia. - : Columbia University, 2010 BASE Show details 15 Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers: Presentation Slides ... Biadsy, Fadi; Soltau, Hagen; Mangu, Lidia. - : Columbia University, 2010 BASE Show details 16 Contextual phrase-level polarity analysis using lexical affect scoring and syntactic n-grams Agarwal, Apoorv; Biadsy, Fadi; McKeown, Kathleen R. In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 24-32 BLLDB Show details 17 Spoken Arabic Dialect Identification Using Phonotactic Modeling Biadsy, Fadi; Hirschberg, Julia Bell; Habash, Nizar Y.. - 2009 BASE Show details 18 Contextual Phrase-Level Polarity Analysis using Lexical Affect Scoring and Syntactic N-grams McKeown, Kathleen; Agarwal, Apoorv; Biadsy, Fadi. - 2009 BASE Show details 19 Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules Biadsy, Fadi; Hirschberg, Julia Bell; Habash, Nizar Y.. - 2009 BASE Show details 20 Using Prosody and Phonotactics in Arabic Dialect Identification Biadsy, Fadi; Hirschberg, Julia Bell. - 2009 BASE Show details Page: 1 2

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