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Person name spotting by combining acoustic matching and LDA topic models.

, , , , and . INTERSPEECH, page 1584-1588. ISCA, (2013)

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Step-by-step and integrated approaches in broadcast news speaker diarization., , , , and . Computer Speech & Language, 20 (2-3): 303-330 (2006)Application of automatic speaker recognition techniques to pathological voice assessment (dysphonia)., , , , , and . INTERSPEECH, page 149-152. ISCA, (2005)Person name spotting by combining acoustic matching and LDA topic models., , , , and . INTERSPEECH, page 1584-1588. ISCA, (2013)MFCC-based Remote Pathology Detection on Speech Transmitted Through the Telephone Channel - Impact of Linear Distortions: Band Limitation, Frequency Response and Noise., , , , and . BIOSIGNALS, page 41-48. INSTICC Press, (2009)Person name recognition in ASR outputs using continuous context models., , , , and . ICASSP, page 8470-8474. IEEE, (2013)Détection automatique de zones de déviance dans la parole dysarthrique : étude des bandes de fréquences (Abnormal Zone Detection in Dysarthric Speech Utterances according to Frequency Bands) in French., and . JEP-TALN-RECITAL 2012, page 377-384. ATALA/AFCP, (2012)The TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles., , , , , , , , , and 2 other author(s). LREC, European Language Resources Association (ELRA), (2016)How to manage sound, physiological and clinical data of 2500 dysphonic and dysarthric speakers?, , , , , , , , and . Speech Communication, 54 (5): 664-679 (2012)An integrated top-down/bottom-up approach to speaker diarization., , , , and . INTERSPEECH, page 2646-2649. ISCA, (2010)Frequency study for the characterization of the dysphonic voices., , , , and . INTERSPEECH, page 1198-1201. ISCA, (2007)