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1
The impact of the Lombard effect on audio and visual speech recognition systems
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-01779704 ; Speech Communication, Elsevier : North-Holland, 2018, 100, pp.58-68. ⟨10.1016/j.specom.2018.04.006⟩ (2018)
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2
Cracking the social code of speech prosody using reverse correlation
In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.archives-ouvertes.fr/hal-02004519 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2018, 115 (15), pp.3972-3977. ⟨10.1073/pnas.1716090115⟩ (2018)
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Centered and Averaged Fuzzy Entropy to Improve Fuzzy Entropy Precision
In: ISSN: 1099-4300 ; Entropy ; https://hal.archives-ouvertes.fr/hal-01773465 ; Entropy, MDPI, 2018, 20 (4), pp.287. ⟨10.3390/e20040287⟩ ; https://www.mdpi.com/1099-4300/20/4/287/htm (2018)
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4
Cultural Differences in Pattern Matching: Multisensory Recognition of Socio-affective Prosody
In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01913705 ; Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/interspeech.2018-1795⟩ (2018)
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5
Enhancement of esophageal speech obtained by a voice conversion technique using time dilated Fourier cepstra
In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.inria.fr/hal-01954096 ; International Journal of Speech Technology, Springer Verlag, 2018, 22 (1), pp.99-110. ⟨10.1007/s10772-018-09579-1⟩ (2018)
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6
DEEP-SEE FACE: a mobile face recognition system dedicated to visually impaired people
In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-01993883 ; IEEE Access, IEEE, 2018, 6, pp.51975 - 51985. ⟨10.1109/ACCESS.2018.2870334⟩ (2018)
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7
Enhancement of esophageal speech using statistical and neuromimetic voice conversion techniques
In: ISSN: 2351-8715 ; Journal of International Science and General Applications ; https://hal.inria.fr/hal-01724375 ; Journal of International Science and General Applications, ISGA, 2018, 1 (1), pp.10 (2018)
Abstract: International audience ; This paper presents a novel approach for enhancing esophageal speech using voice conversion techniques. Esophageal speech (ES) is an alternative voice that allows a patient with no vocal cords to produce sounds after total laryngectomy: although it doesn't need any external devices, this voice sounds unnatural when compared to laryngeal speech. ES is frequently described as a harsh speech with low pitch frequency and loudness. Consequently, ES has a poor degree of intelligibility and a poor quality. To improve naturalness and intelligibility of esophageal speech, we propose a speaking-aid system enhancing ES in order to clarify and make it more natural. Given the specificity of ES, in this study, we propose to apply a new voice conversion technique taking into account the particularity of the pathological vocal apparatus. The vocal tract and excitation cepstral coefficients are separately estimated. We trained deep neural networks (DNNs) and Gaussian mixture models (GMMs) to predict "laryngeal" vocal tract features from esophageal speech. The converted cepstral vectors are then used to estimate excitation and phase coefficients by a search in the target training space previously encoded as a binary tree. The voice resynthesized sounds like a laryngeal voice, i.e., is more natural than the original ES, with an effective reconstruction of the prosodic information while retaining, and this is the highlight of our study, the characteristics of the vocal tract inherent to the source speaker. The results of voice conversion evaluated using objective and subjective experiments, validate the proposed approach.
Keyword: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
URL: https://hal.inria.fr/hal-01724375
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8
Duration modeling using DNN for Arabic speech synthesis
In: 9th International Conference on Speech Prosody ; https://hal.inria.fr/hal-01889917 ; 9th International Conference on Speech Prosody, Jun 2018, Poznań, Poland (2018)
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9
Multiple speaker localization and identification through multiple camera and visible light communication
In: 1st Global LIFI Congress ; https://hal.archives-ouvertes.fr/hal-01723387 ; 1st Global LIFI Congress, Feb 2018, Paris, France (2018)
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10
Linguistically-driven framework for computationally efficient and scalable sign recognition
Metaxas, Dimitris N.; Dilsizian, Mark; Neidle, Carol. - : European Language Resources Association (ELRA), 2018
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11
Scalable ASL sign recognition using model-based machine learning and linguistically annotated corpora
Dilsizian, Mark; Neidle, Carol; Metaxas, Dimitris. - : European Language Resources Association (ELRA), 2018
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12
NEW shared & interconnected ASL resources: SignStream® 3 Software; DAI 2 for web access to linguistically annotated video corpora; and a sign bank
Neidle, Carol; Opoku, Augustine; Metaxas, Dimitris. - : European Language Resources Association (ELRA), 2018
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13
Sign Language Video Analysis For Automatic Recognition and Detection
In: 20th International ACM SIGACCESS Conference on Computers and Accessibility ; https://hal.archives-ouvertes.fr/hal-02146365 ; 20th International ACM SIGACCESS Conference on Computers and Accessibility, Oct 2018, Galway, Ireland (2018)
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14
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources
In: 27th International Conference on Computational Linguistics (COLING) ; https://hal.archives-ouvertes.fr/hal-01868743 ; 27th International Conference on Computational Linguistics (COLING), Aug 2018, Santa Fe, NM, United States. pp.1474-1484 ; http://coling2018.org/ (2018)
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15
Correction automatique d'attachements prépositionnels par utilisation de traits visuels
In: 25ème conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01832979 ; 25ème conférence sur le Traitement Automatique des Langues Naturelles, May 2018, Rennes, France (2018)
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16
The structure of the mental lexicon: what primary progressive aphasias reveal
In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.inria.fr/hal-01672932 ; Neuropsychologia, Elsevier, 2018, 109, pp.107-115. ⟨10.1016/j.neuropsychologia.2017.12.018⟩ (2018)
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17
Fast lexicographical order-based encoder for lattice vector quantization of Generalized Gaussian sources using pre-computed n-balls cardinalities
In: ISSN: 0923-5965 ; EISSN: 1879-2677 ; Signal Processing: Image Communication ; https://hal.archives-ouvertes.fr/hal-01670771 ; Signal Processing: Image Communication, Elsevier, 2018, 62, pp.42-50. ⟨10.1016/j.image.2017.12.004⟩ (2018)
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18
Audio-visual synchronization in reading while listening to texts: Effects on visual behavior and verbal learning
In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-01575227 ; Computer Speech and Language, Elsevier, 2018, 47 (january), pp.79-92. ⟨10.1016/j.csl.2017.07.003⟩ (2018)
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19
Particularities about brain asymmetry and lexicosemantic processing in giftedness: a transdisciplinary approach
In: First European Asymmetry Symposium ; https://hal.archives-ouvertes.fr/hal-01742517 ; First European Asymmetry Symposium, Mar 2018, Nice, France (2018)
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20
Critical brain regions related to post-stroke aphasia severity identified by early diffusion imaging are not the same when predicting short- and long-term outcome
In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal.inria.fr/hal-01966081 ; Brain and Language, Elsevier, 2018, 186, pp.1-7. ⟨10.1016/j.bandl.2018.08.005⟩ (2018)
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