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Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.archives-ouvertes.fr/hal-03627441 ; Frontiers in Neuroscience, Frontiers, 2022, 16 (779062), ⟨10.3389/fnins.2022.779062⟩ ; https://www.frontiersin.org/articles/10.3389/fnins.2022.779062/full (2022)
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A fine-grained recognition of Named Entities in ELTeC collection using cascades
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In: Final Action Event of COST Action Distant Reading for European Literary History ; https://hal.archives-ouvertes.fr/hal-03615219 ; Final Action Event of COST Action Distant Reading for European Literary History, Christof Schöch, Apr 2022, Krakow, Poland ; https://www.distant-reading.net/events/conference-programme/ (2022)
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RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION
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In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022)
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Emotional Speech Recognition Using Deep Neural Networks
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In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
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The Impact of Removing Head Movements on Audio-visual Speech Enhancement
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In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.inria.fr/hal-03551610 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, May 2022, Singapore, Singapore. pp.1-5 (2022)
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Face recognition improvements in adults and children with face recognition difficulties
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Face masks versus sunglasses: Limited effects of time and individual differences in the ability to judge facial identity and social traits
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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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BBC-Oxford British Sign Language Dataset
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In: https://hal.archives-ouvertes.fr/hal-03516444 ; 2022 (2022)
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Fine-tuning pre-trained models for Automatic Speech Recognition: experiments on a fieldwork corpus of Japhug (Trans-Himalayan family)
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In: https://halshs.archives-ouvertes.fr/halshs-03647315 ; 2022 (2022)
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Evaluation of Speaker Anonymization on Emotional Speech ; Analyse de l'anonymisation du locuteur sur de la parole émotionnelle
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In: JEP2022 - Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-03636737 ; JEP2022 - Journées d'Études sur la Parole, Jun 2022, Île de Noirmoutier, France (2022)
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Abstract:
International audience ; Speech data carries personal information, such as the speaker’s identity and emotional state, which can be used for malicious purposes. Among the studies that have addressed the topic of speech privacy, the VoicePrivacy initiative aims to promote the development of privacy tools for speechtechnologies. The goal of the VoicePrivacy Challenge 2020 (VPC) was to hide the source speaker’s identity while preserving the linguistic information. This paper studies the impact of the VPC speaker anonymization system on the emotional information of speech. Modifications to the system were also added in an attempt to mask the emotions while limiting signal degradation. Our results show that VPC baseline slightly masks the speakers’ emotions, but some modifications can mask the emotions more effectively while maintaining good intelligibility. ; Les données vocales contiennent des informations personnelles, telles que l'identité du locuteur ou son état émotionnel, pouvant être utilisées à des fins malveillantes. Parmi les études ayant abordé le sujet de la préservation de la confidentialité de la parole, l'initiative VoicePrivacy vise à promouvoir le développement d'outils de préservation de la vie privée pour les technologies vocales. L'objectif du VoicePrivacy Challenge 2020 (VPC) était de cacher l'identité du locuteur source tout en préservant les informations linguistiques. Cet article étudie l'impact du système d'anonymisation du locuteur du VPC sur les informations émotionnelles de la parole. Des modifications du système ont aussi été ajoutées pour essayer de masquer les émotions tout en limitant la dégradation du signal. Nos résultats montrent que la baseline du VPC masque légèrement les émotions des locuteurs mais certaines modifications permettent de masquer plus efficacement les émotions tout en conservant une bonne intelligibilité.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; Anonymisation du locuteur; Emotion Recognition; Privacité; Reconnaissance d'émotion; Speaker Anonymization; Voice Privacy
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URL: https://hal.archives-ouvertes.fr/hal-03636737/document https://hal.archives-ouvertes.fr/hal-03636737 https://hal.archives-ouvertes.fr/hal-03636737/file/JEP2022_Emotion_Final.pdf
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Can machines learn to see without visual databases?
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In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022)
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К вопросу о сущности основных конституционных обязанностей человека и гражданина ... : On the question of the essence of the basic constitutional duties of a person and a citizen ...
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Contextual time-continuous emotion recognition based on multimodal data ...
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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Currencies of recognition: What rewards and recognition do Canadian distributed medical education preceptors value? ...
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Monolinguals and Bilinguals’ Visual Recognition Memory of Socially Relevant Stimuli at 8-10 Months. ...
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Dvoice : An open source dataset for Automatic Speech Recognition on African Languages and Dialects ...
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Dvoice : An open source dataset for Automatic Speech Recognition on African Languages and Dialects ...
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Linked Open Tafsir - Rekonstruktion der Entstehungsdynamik(en) des Korans mithilfe der Netzwerkmodellierung früher islamischer Überlieferungen ...
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