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1
Speaker Diarization With Lexical Information ...
Abstract: This work presents a novel approach to leverage lexical information for speaker diarization. We introduce a speaker diarization system that can directly integrate lexical as well as acoustic information into a speaker clustering process. Thus, we propose an adjacency matrix integration technique to integrate word level speaker turn probabilities with speaker embeddings in a comprehensive way. Our proposed method works without any reference transcript. Words, and word boundary information are provided by an ASR system. We show that our proposed method improves a baseline speaker diarization system solely based on speaker embeddings, achieving a meaningful improvement on the CALLHOME American English Speech dataset. ... : This version removed by arXiv administrators because the author did not have the right to agree to our license at the time of submission ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1811.10761
https://arxiv.org/abs/1811.10761
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2
AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis ...
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3
Recurrent Models for Auditory Attention in Multi-Microphone Distance Speech Recognition ...
Kim, Suyoun; Lane, Ian. - : arXiv, 2015
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4
Bilingual-LSA Based LM Adaptation for Spoken Language Translation
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5
Bilingual LSA-based adaptation for statistical machine translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 21 (2007) 4, 187-207
BLLDB
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6
Out-of-domain utterance detection using classification confidences of multiple topics
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 1, 150-161
BLLDB
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7
Bilingual-LSA Based LM Adaptation for Spoken Language Translation ...
Tam, Yik-Cheung; Lane, Ian; Schultz, Tanja. - : Karlsruhe, 2007
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8
Bilingual LSA-based adaptation for statistical machine translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 21 (2006) 4, 187-208
OLC Linguistik
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