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Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 168-189
OLC Linguistik
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2
Intoxication Detection using Phonetic, Phonotactic and Prosodic Cues
Rosenberg, Andrew; Wang, William Yang; Biadsy, Fadi. - : Proceedings of Interspeech 2011, 2011
BASE
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3
Automatic Dialect and Accent Recognition and its Application to Speech Recognition
Biadsy, Fadi. - 2011
BASE
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4
Dialect and Accent Recognition using Phonetic-Segmentation Supervectors
BASE
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5
Intoxication Detection using Phonetic, Phonotactic and Prosodic Cues ...
Biadsy, Fadi; Wang, William Yang; Rosenberg, Andrew. - : Columbia University, 2011
BASE
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6
Automatic Dialect and Accent Recognition and its Application to Speech Recognition ...
Biadsy, Fadi. - : Columbia University, 2011
BASE
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7
Dialect and Accent Recognition using Phonetic-Segmentation Supervectors ...
Biadsy, Fadi; Hirschberg, Julia Bell; Ellis, Daniel P. W.. - : Columbia University, 2011
BASE
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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
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9
Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel: Presentation Slides
Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Interspeech 2010, 2010
BASE
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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
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11
Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel
Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Interspeech 2010, 2010
BASE
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12
Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel: Presentation Slides ...
Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Columbia University, 2010
Abstract: In this paper, we introduce a new approach to dialect recognition which relies on the hypothesis that certain phones are realized differently across dialects. Given a speaker’s utterance, we first obtain the most likely phone sequence using a phone recognizer. We then extract GMM Supervectors for each phone instance. Using these vectors, we design a kernel function that computes the similarities of phones between pairs of utterances. We employ this kernel to train SVM classifiers that estimate posterior probabilities, used during recognition. Testing our approach on four Arabic dialects from 30s cuts, we compare our performance to five approaches: PRLM; GMM-UBM; our own improved version of GMM-UBM which employs fMLLR adaptation; our recent discriminative phonotactic approach; and a state-of-the-art system: SDC-based GMM-UBM discriminatively trained. Our kernel-based technique outperforms all these previous approaches; the overall EER of our system is 4.9%. ...
Keyword: Computer science; FOS Languages and literature; Information technology; Linguistics
URL: https://academiccommons.columbia.edu/doi/10.7916/D8S18B0P
https://dx.doi.org/10.7916/d8s18b0p
BASE
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13
Dialect Recognition Using a Phone-GMM-Supervector-Based SVM Kernel ...
Hirschberg, Julia Bell; Biadsy, Fadi; Collins, Michael. - : Columbia University, 2010
BASE
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14
Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers ...
Biadsy, Fadi; Soltau, Hagen; Mangu, Lidia. - : Columbia University, 2010
BASE
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15
Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers: Presentation Slides ...
Biadsy, Fadi; Soltau, Hagen; Mangu, Lidia. - : Columbia University, 2010
BASE
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16
Contextual phrase-level polarity analysis using lexical affect scoring and syntactic n-grams
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
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17
Spoken Arabic Dialect Identification Using Phonotactic Modeling
BASE
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18
Contextual Phrase-Level Polarity Analysis using Lexical Affect Scoring and Syntactic N-grams
BASE
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19
Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules
BASE
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20
Using Prosody and Phonotactics in Arabic Dialect Identification
BASE
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