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Intelligibility and comprehensibility: A Delphi consensus study
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In: ISSN: 1368-2822 ; EISSN: 1460-6984 ; International Journal of Language and Communication Disorders ; https://hal.archives-ouvertes.fr/hal-03543198 ; International Journal of Language and Communication Disorders, Wiley, 2022, 57 (1), pp.21 - 41. ⟨10.1111/1460-6984.12672⟩ ; https://onlinelibrary.wiley.com/doi/10.1111/1460-6984.12672 (2022)
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Assessment of adult speech disorders: current situation and needs in French-speaking clinical practice
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In: ISSN: 1401-5439 ; Logopedics Phoniatrics Vocology ; https://hal.archives-ouvertes.fr/hal-03120115 ; Logopedics Phoniatrics Vocology, Taylor & Francis, 2021, pp.1-15. ⟨10.1080/14015439.2020.1870245⟩ (2021)
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Relationship between phoneme-level spectral acoustics and speech intelligibility in healthy speech: a systematic review
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In: ISSN: 1092-4388 ; EISSN: 1558-9102 ; Journal of Speech, Language, and Hearing Research ; https://hal.archives-ouvertes.fr/hal-03543196 ; Journal of Speech, Language, and Hearing Research, American Speech-Language-Hearing Association, 2021, In a new world of research, what do we already know? Systematic and scoping reviews in Speech, Language and Hearing, 24 (2), pp.105 - 132. ⟨10.1080/2050571x.2021.1913300⟩ ; https://www.tandfonline.com/doi/abs/10.1080/2050571X.2021.1913300?journalCode=yslh20 (2021)
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C2SI corpus: a database of speech disorder productions to assess intelligibility and quality of life in head and neck cancers
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02921918 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (1), pp.173-190. ⟨10.1007/s10579-020-09496-3⟩ ; https://link.springer.com/article/10.1007/s10579-020-09496-3 (2021)
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A new measure to predict the a priori performance of automatic transcription systems on reverberated speech
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In: Speech In Noise Workshop - SpiN 2019 ; https://hal.archives-ouvertes.fr/hal-02976602 ; Speech In Noise Workshop - SpiN 2019, Jan 2019, Ghent, Belgium ; https://spin2019.be/?p=program&id=86 (2019)
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Carcinologic Speech Severity Index Project: A Database of Speech Disorder Productions to Assess Quality of Life Related to Speech After Cancer
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In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation - LREC 2018 ; Eleventh International Conference on Language Resources and Evaluation Conference (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01770168 ; Eleventh International Conference on Language Resources and Evaluation Conference (LREC 2018), May 2018, Miyazaki, Japan. pp.L18-1673 ; http://www.lrec-conf.org/proceedings/lrec2018/pdf/506.pdf (2018)
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Pronunciation assessment of Japanese learners of French with GOP scores and phonetic information
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In: Proceedings of INTERSPEECH 2016 ; Annual conference Interspeech (INTERSPEECH 2016) ; https://hal.archives-ouvertes.fr/hal-01474896 ; Annual conference Interspeech (INTERSPEECH 2016), Sep 2016, San Francisco, CA, United States. pp.2686-2690, ⟨10.21437/Interspeech.2016-513⟩ (2016)
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Automatic Assessment of Speech Capability Loss in Disordered Speech
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In: ISSN: 1936-7228 ; EISSN: 1936-7236 ; ACM Transactions on Accessible Computing ; https://hal.archives-ouvertes.fr/hal-01371812 ; ACM Transactions on Accessible Computing , ACM New York, NY, USA 2015, 6 (3), pp.1-14. ⟨10.1145/2739051⟩ (2015)
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What do pause patterns in non- fluent aphasia tell us about monitoring speech ? A study of morph-syntactic complexity, accuracy and fluency in agrammatic sentence and connected discourse production
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In: Frontiers in psychology Conference Abstract ; 53rd Annual Meeting of Academy of Aphasia (2015) ; https://hal.archives-ouvertes.fr/hal-01739988 ; 53rd Annual Meeting of Academy of Aphasia (2015), Oct 2015, Tucson, United States. pp.60-61 (2015)
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| 11 |
Exploiting Phonetic And Phonological Similarities As A First Step For Robust Speech Recognition ...
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| 12 |
Extracting true speaker identities from transcriptions
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In: Interspeech 2007 ; https://hal.archives-ouvertes.fr/hal-01434096 ; Interspeech 2007, 2007, Antwerp, Belgium (2007)
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Abstract:
International audience ; Automatic speaker diarization generally produces a generic label such a spkr1 rather than the true identity of the speaker. Recently, two approaches based on lexical rules were proposed to extract the true identity of the speaker from the transcriptions of the audio recording without any a priori acoustic information: one uses n-gram, the other one uses semantic classification trees (SCT). The latter was proposed by the authors of this paper. In this paper, the two methods are compared in experiments carried out on French broadcast news records from the ESTER 2005 evaluation campaign. Experiments are processed on manual and automatic transcriptions. On manual transcriptions, the n-gram-based approach can be more precise, but the automatic transcriptions, the SCT-based approach gives significantly the best results in terms of recall and precision.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-01434096/file/i07_2601.pdf
https://hal.archives-ouvertes.fr/hal-01434096
https://hal.archives-ouvertes.fr/hal-01434096/document
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| 13 |
Speaker diarization: about whom the speaker is talking?
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In: 2006 IEEE Odyssey - The Speaker and Language Recognition Workshop ; IEEE Speaker Odyssey 2006 ; https://hal.archives-ouvertes.fr/hal-01434121 ; IEEE Speaker Odyssey 2006, 2006, San Juan Puerto Rico (2006)
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| 14 |
Indexation en locuteur : utilisation d'informations lexicales
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In: Les Journées d'Étude sur la Parole (JEP) 2006 ; https://hal.archives-ouvertes.fr/hal-01434240 ; Les Journées d'Étude sur la Parole (JEP) 2006, 2006, Dinard, France. pp.5 (2006)
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