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A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice
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In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599085 ; Information, MDPI, 2022, 13 (3), pp.102. ⟨10.3390/info13030102⟩ (2022)
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Neural Vocoding for Singing and Speaking Voices with the Multi-Band Excited WaveNet
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In: ISSN: 2078-2489 ; Information ; https://hal.archives-ouvertes.fr/hal-03599076 ; Information, MDPI, 2022, 13 (3), pp.103. ⟨10.3390/info13030103⟩ (2022)
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Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
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In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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Etude de cas de pathologies de la parole dans le cadre de la prise en charge orthophonique
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In: https://hal.archives-ouvertes.fr/hal-03568182 ; 2022 (2022)
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Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
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In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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Differentially private speaker anonymization
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In: https://hal.inria.fr/hal-03588932 ; 2022 (2022)
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Automatic assessment of oral readings of young pupils
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-03585934 ; Speech Communication, Elsevier : North-Holland, 2022, 138, pp.67-79. ⟨10.1016/j.specom.2022.01.008⟩ ; https://www.sciencedirect.com/science/article/pii/S0167639322000164?via%3Dihub (2022)
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| 9 |
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals ...
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| 11 |
Multi Antenna Radar System for American Sign Language (ASL) Recognition Using Deep Learning ...
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| 12 |
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors ...
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Separate What You Describe: Language-Queried Audio Source Separation ...
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| 15 |
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations ...
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| 16 |
Mutual Understanding in Situated Interactions with Conversational User Interfaces : Theory, Studies, and Computation
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| 17 |
Segmentation of Glottal Images from High-Speed Videoendoscopy Optimized by Synchronous Acoustic Recordings
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In: Sensors; Volume 22; Issue 5; Pages: 1751 (2022)
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| 18 |
A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender
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In: PPAI 2021 - The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02995862 ; PPAI 2021 - The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence, Feb 2021, Virtual, China (2021)
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| 19 |
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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Abstract:
International audience ; Introduction: Speech assessment methods used in clinical practice are varied and mainly perceptual and motor. Reliable assessment of speech disorders is essential for the tailoring of the patient's treatment plan. Objective: To describe current clinical practices and identify the shortcomings and needs reported by French-speaking clinicians regarding the assessment of speech disorders in adult patients. Methods: Data were collected using an online questionnaire for French-speaking speech and language pathologists (SLPs) in Belgium, France, Switzerland, Luxembourg, and Maghreb. Forty-nine questions were grouped into six domains: participant data, educational and occupational background, experience with speech disorders, patient population, tools and tasks for speech assessment, and possible lacks regarding the current assessment of speech disorders. Results: Responses from 119 clinicians were included in the analyses. SLPs generally use " a la carte" assessment with a large variety of tasks and speech samples. About one quarter of them do not use existing assessment batteries. Those who do mostly use them partially. Pseudo-words are rarely used and are absent from standardized batteries, in contrast to the major use of words and sentences. Perceptual evaluation largely prevails (mainly overall ratings of speech "intelligibility", "severity," and "comprehensibility" and percent-correct phonemes), whereas the recording equipment for acoustic measures is not standardized and only scarcely described by the SLPs. The most commonly used questionnaire to assess the functional impact of the speech disorder is the Voice Handicap Index; one quarter of the SLPs does not use any questionnaire. Overall, the available tools are considered only moderately satisfactory. The main reported shortcomings are a lack of objectivity and reproducibility of speech measures; exhaustiveness and consideration of specific speech parameters (prosody, speech rate, and nasality); practicality of the assessment tools. Conclusion: This study highlights a lack of standardization of the speech assessment in French-speaking adults and the need to offer new reliable tools for an optimized, accurate speech assessment. The automation of these tools would allow for rapid, reproducible, and accurate measures.
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Keyword:
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SDV]Life Sciences [q-bio]; assessment; French; Speech; survey
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URL: https://doi.org/10.1080/14015439.2020.1870245
https://hal.archives-ouvertes.fr/hal-03120115/file/Assessment%20of%20adult%20speech%20disorders%20current%20situation%20and%20needs%20in%20French%20speaking%20clinical%20practice.pdf
https://hal.archives-ouvertes.fr/hal-03120115
https://hal.archives-ouvertes.fr/hal-03120115/document
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| 20 |
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
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In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.archives-ouvertes.fr/hal-03232723 ; International Journal of Speech Technology, Springer Verlag, In press, ⟨10.1007/s10772-021-09862-8⟩ (2021)
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