1 |
EVOLEX : la reconnaissance vocale au service du diagnostic des dysfonctionnements langagiers
|
|
|
|
In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269242 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
|
|
BASE
|
|
Show details
|
|
2 |
Automatic extraction of speech rhythm descriptors for speech intelligibility assessment in the context of Head and Neck Cancers
|
|
|
|
In: à paraître ; INTERSPEECH 2021 ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269227 ; INTERSPEECH 2021, ISCA : International Speech and Communication Association, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org (2021)
|
|
BASE
|
|
Show details
|
|
3 |
Construction of an automatic score for the evaluation of speech disorders among patients treated for a cancer of the oral cavity or the oropharynx: The Carcinologic Speech Severity Index
|
|
|
|
In: ISSN: 1043-3074 ; EISSN: 1097-0347 ; Head and Neck ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03413678 ; Head and Neck, Wiley, In press, ⟨10.1002/hed.26903⟩ (2021)
|
|
BASE
|
|
Show details
|
|
4 |
C2SI corpus: a database of speech disorder productions to assess intelligibility and quality of life in head and neck cancers
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
5 |
Construction d'un index holistique d'impact sur la communication des troubles de la parole chez les patients traités pour un cancer oral ou oropharyngé
|
|
|
|
In: Séminaire AFCP 2021, Thème : Phonétique Clinique ; https://hal.archives-ouvertes.fr/hal-03258582 ; Séminaire AFCP 2021, Thème : Phonétique Clinique, May 2021, Toulouse (virtuel), France. 2021 ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Analyse des performances des algorithmes d'estimation de la fréquence fondamentale dans le cadre de la voix pathologique
|
|
|
|
In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269235 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
|
|
BASE
|
|
Show details
|
|
7 |
L'identification automatique des différents bruits de gorge chez le sujet sain : une étude pilote
|
|
|
|
In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269247 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
|
|
BASE
|
|
Show details
|
|
8 |
Une méthode automatique non supervisée pour évaluer le score de sévérité de la parole chez les patients traités pour un cancer ORL
|
|
|
|
In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269228 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France. 2021 ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
|
|
BASE
|
|
Show details
|
|
9 |
La laryngophoniatrie du futur
|
|
|
|
In: Congrès National de la Société Française d'ORL ; https://hal.archives-ouvertes.fr/hal-03365266 ; Congrès National de la Société Française d'ORL, 2021, Paris, France (2021)
|
|
BASE
|
|
Show details
|
|
10 |
La laryngophoniatrie du futur
|
|
|
|
In: Congrès National de la Société Française d'ORL ; https://hal.archives-ouvertes.fr/hal-03365266 ; Congrès National de la Société Française d'ORL, 2021, Paris, France (2021)
|
|
BASE
|
|
Show details
|
|
12 |
Using automatic speech recognition to predict aided speech-in-noise intelligibility
|
|
|
|
In: Speech In Noise Workshop ; https://hal.archives-ouvertes.fr/hal-02960442 ; Speech In Noise Workshop, Jan 2020, Toulouse, France ; https://2020.speech-in-noise.eu/?p=program&id=105 (2020)
|
|
Abstract:
International audience ; As the main complaint of people with age-related hearing loss (ARHL) is difficulty under- standing speech, the success of rehabilitation through hearing aids (HAs) is often meas- ured through speech intelligibility tests. These tests can be fairly lengthy and therefore cannot be conducted for all HA settings that might yield optimal speech intelligibility to the hearing-impaired listener. Recent studies showed that automatic speech recognition (ASR) can be used as an ob- jective measure for the prediction of unaided speech intelligibility in quiet in people with real or simulated ARHL (Fontan et al., 2017; Fontan et al., in revision). The aim of the present study was to assess the applicability of ASR to a wider range of listening con- ditions, involving unaided and aided speech-in-noise perception in older hearing-im- paired (OHI) listeners. Twenty-eight OHI participants (mean age = 73.3 years) were recruited for this study. They completed several speech-identification tasks, involving logatoms, words, and sentenc- es. All speech materials were mixed with a background noise with the long-term average speech spectrum (LTASS) and presented monaurally through headphones at 60 dB SPL. The signal-to-noise ratio was -1.5 dB. Participants completed the identification tasks unaided and aided using a HA simulator implementing individual gains prescribed by the CAM2b fitting rule. A speech-intelligibility prediction system was set up, consisting of: (1) the HA simula- tor used for the OHI participants (Moore et al., 2010), (2) an age-related-hearing-loss simulator implementing the algorithms described by Nejime and Moore (1997), and (3) an HMM-GMM-based ASR system using the Julius decoder software (Nagoya Institute of Technology, Japan), with acoustic models trained on speech in LTASS noise, and a different language model for each of the speech materials. Human and machine in- telligibility scores were calculated as the percentage of logatoms or words that were correctly identified. The results show that, on average, the implementation of CAM2b gains significantly im- proved speech-in-noise intelligibility performances both in OHI listeners and the ASR system.
|
|
Keyword:
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; Automatic Speech Recognition; intelligibility; speech in noise
|
|
URL: https://hal.archives-ouvertes.fr/hal-02960442
|
|
BASE
|
|
Hide details
|
|
13 |
Functional impact of speech disorders in patients treated for oral or oropharyngeal cancer, assessed by perceptual and automatic measurements
|
|
|
|
In: 2020 Motor Speech Conference ; https://hal.archives-ouvertes.fr/hal-02505380 ; 2020 Motor Speech Conference, Feb 2020, Santa Barbara, United States. ⟨10.13140/RG.2.2.35402.52168⟩ (2020)
|
|
BASE
|
|
Show details
|
|
14 |
Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review
|
|
|
|
In: ISSN: 1043-3074 ; EISSN: 1097-0347 ; Head and Neck ; https://hal.archives-ouvertes.fr/hal-02492761 ; Head and Neck, Wiley, 2020, 42 (1), pp.111-130. ⟨10.1002/hed.25949⟩ (2020)
|
|
BASE
|
|
Show details
|
|
15 |
A new measure to predict the a priori performance of automatic transcription systems on reverberated speech
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
16 |
The Airbus Air Traffic Control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection
|
|
|
|
In: Proceedings of INTERSPEECH 2019 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) ; https://hal.archives-ouvertes.fr/hal-02419437 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019), Sep 2019, Graz, Austria. pp.2993-2997 (2019)
|
|
BASE
|
|
Show details
|
|
17 |
Interests of using Automatic Speech recognition for Speech-Language Therapists
|
|
|
|
In: World Congress of the International Association of Logopedics and Phoniatrics ; https://hal.archives-ouvertes.fr/hal-03012571 ; World Congress of the International Association of Logopedics and Phoniatrics, IALP : International Association of Logopedics and Phoniatrics, Aug 2019, Taipei, Taiwan. pp.(electronic medium) ; http://www.ialptaipei2019.org/ (2019)
|
|
BASE
|
|
Show details
|
|
18 |
EVOLEX : apport de la reconnaissance vocale pour le diagnostic des dysfonctionnements cognitifs légers
|
|
|
|
In: Actes des 8e Journees de Phonetique Clinique ; 8e Journees de Phonetique Clinique (JPC 2019) ; https://hal.archives-ouvertes.fr/hal-02442023 ; 8e Journees de Phonetique Clinique (JPC 2019), May 2019, Mons, Belgique. pp.105-106 (2019)
|
|
BASE
|
|
Show details
|
|
19 |
Comparaison de systèmes automatiques de reconnaissance grand vocabulaire appliqué à de la parole pathologique
|
|
|
|
In: Actes des 8e Journees de Phonetique Clinique ; 8e Journees de Phonetique Clinique (JPC 2019) ; https://hal.archives-ouvertes.fr/hal-02421557 ; 8e Journees de Phonetique Clinique (JPC 2019), May 2019, Mons, Belgique. pp.53-54 (2019)
|
|
BASE
|
|
Show details
|
|
20 |
Using automatic speech recognition for the prediction of impaired speech identification
|
|
|
|
In: 11th Speech in Noise Workshop (SPiN 2019) ; https://hal.archives-ouvertes.fr/hal-02976603 ; 11th Speech in Noise Workshop (SPiN 2019), Jan 2019, Ghent, Belgium ; https://spin2019.be/?p=program&id=88 (2019)
|
|
BASE
|
|
Show details
|
|
|
|