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What Makes a Speaker Recognizable in TV Broadcast? Going Beyond Speaker Identification Error Rate
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In: Interspeech 2015 ; ERRARE Workshop, a satellite event of Interspeech 2015. ; https://hal.archives-ouvertes.fr/hal-01433205 ; ERRARE Workshop, a satellite event of Interspeech 2015., 2015, Sinaia, Romania (2015)
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Automatic Detection of Phoneme-Based Anomalies in Dysarthric Speech
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In: ISSN: 1936-7228 ; EISSN: 1936-7236 ; ACM Transactions on Accessible Computing ; https://hal.archives-ouvertes.fr/hal-01485312 ; ACM Transactions on Accessible Computing , ACM New York, NY, USA 2015, Vol. 6 n° 3 (2015)
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Abstract:
International audience ; Perceptual evaluation is still the most common method in clinical practice for diagnosing and following the progression of the condition of people with speech disorders. Although a number of studies have addressed the acoustic analysis of speech productions exhibiting impairments, additional descriptive analysis is required to manage interperson variability, considering speakers with the same condition or across different conditions. In this context, this article investigates automatic speech processing approaches dedicated to the detection and localization of abnormal acoustic phenomena in speech signal produced by people with speech disorders. This automatic process aims at enhancing the manual investigation of human experts while at the same time reducing the extent of their intervention by calling their attention to specific parts of the speech considered as atypical from an acoustical point of view. Two different approaches are proposed in this article. The first approach models only the normal speech, whereas the second models both normal and dysarthric speech. Both approaches are evaluated following two strategies: one consists of a strict phone comparison between a human annotation of abnormal phones and the automatic output, while the other uses a “one-phone delay” for the comparison. The experimental evaluation of both approaches for the task of detecting acoustic anomalies was conducted on two different corpora composed of French dysarthric speakers and control speakers. These approaches obtain very encouraging results and their potential for clinical uses with different types of dysarthria and neurological diseases is quite promising.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; automatic speech processing; dysarthria; objective detection of acoustic anomalies; Speech disorders; supervised classification
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URL: https://hal.archives-ouvertes.fr/hal-01485312
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Automatic speech processing for dysarthria: A study of Inter-pathology variability
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In: 18th International Congress of Phonetic Sciences 18 ; https://hal.archives-ouvertes.fr/hal-01498821 ; 18th International Congress of Phonetic Sciences 18, Aug 2015, Glasgow, United Kingdom. pp.5 (2015)
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| 4 |
Traitement automatique de la parole dysarthrique: Etude de la variabilité inter-pathologique
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In: Journées de Phonétique Clinique 6 ; https://hal.archives-ouvertes.fr/hal-01498892 ; Journées de Phonétique Clinique 6, Jun 2015, Montpellier, France. non paginé (2015)
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| 5 |
Détection automatique d'anomalies dans la parole dysarthrique
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In: Journées de Phonétique Clinique 6 ; https://hal.archives-ouvertes.fr/hal-01498824 ; Journées de Phonétique Clinique 6, Jun 2015, Montpellier, France. non paginé (2015)
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