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1
Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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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2
A fine-grained recognition of Named Entities in ELTeC collection using cascades
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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3
RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION
In: IEEE ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03539741 ; IEEE ICASSP 2022, 2022, Singapour, Singapore (2022)
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4
Emotional Speech Recognition Using Deep Neural Networks
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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5
The Impact of Removing Head Movements on Audio-visual Speech Enhancement
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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6
Face recognition improvements in adults and children with face recognition difficulties
Bate, S; Dalrymple, K; Bennetts, RJ. - : Oxford University Press (OUP), 2022
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7
Face masks versus sunglasses: Limited effects of time and individual differences in the ability to judge facial identity and social traits
Bennetts, R; Johnson Humphrey, P; Zielinska, P. - : BioMed Central (Springer Nature) on behalf of the Psychonomic Society, 2022
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8
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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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9
BBC-Oxford British Sign Language Dataset
In: https://hal.archives-ouvertes.fr/hal-03516444 ; 2022 (2022)
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10
Fine-tuning pre-trained models for Automatic Speech Recognition: experiments on a fieldwork corpus of Japhug (Trans-Himalayan family)
In: https://halshs.archives-ouvertes.fr/halshs-03647315 ; 2022 (2022)
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11
Evaluation of Speaker Anonymization on Emotional Speech ; Analyse de l'anonymisation du locuteur sur de la parole émotionnelle
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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12
Can machines learn to see without visual databases?
In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022)
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13
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 ...
Марат Вильданович Саудаханов. - : Закон и право, 2022
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14
Contextual time-continuous emotion recognition based on multimodal data ...
Fedotov, Dmitrii. - : Universität Ulm, 2022
Abstract: This thesis outlines novel approaches to integrate contextual information for improving the performance of automatic emotion recognition systems. Emotion recognition has been of interest for researchers for a long period of time and during the last two decades it has received a noticeable development due to hardware and software improvements, as well as the increasing demand on intelligent conversational agents. In spite of the fact that modern emotion recognition research aims towards spontaneous data (recorded not in laboratory conditions) and real world applications, it is often being performed in an isolated manner. This implies that the recognition is done without accounting for previous actions or emotional status of a user, information about his/her interlocutor (if any) and environment while designing the pipeline. All these aspects and sources of information play an important role in defining or affecting the current mood and emotional status of the user; hence, they should be analyzed in order to ... : Diese Dissertation entstand im Rahmen einer Kooperation mit der Universität ITMO in St. Petersburg. / This dissertation was written in the context of a cooperation with ITMO University in St. Petersburg. ...
Keyword: Audio visual emotion recognition; Contextual emotion recognition; DDC 150 / Psychology; DDC 410 / Linguistics; Dyadic interactions; Kontextualismus; Recognition Psychology; Smart tourism; Voice recognition
URL: https://oparu.uni-ulm.de/xmlui/handle/123456789/41875
https://dx.doi.org/10.18725/oparu-41799
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15
Unsupervised quantification of entity consistency between photos and text in real-world news ...
Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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16
Currencies of recognition: What rewards and recognition do Canadian distributed medical education preceptors value? ...
Johnston, Aaron. - : Open Science Framework, 2022
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17
Monolinguals and Bilinguals’ Visual Recognition Memory of Socially Relevant Stimuli at 8-10 Months. ...
Freda, Kate. - : Open Science Framework, 2022
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18
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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20
Linked Open Tafsir - Rekonstruktion der Entstehungsdynamik(en) des Korans mithilfe der Netzwerkmodellierung früher islamischer Überlieferungen ...
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