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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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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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3
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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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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5
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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6
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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8
ASR training dataset for Croatian ParlaSpeech-HR v1.0
Abstract: The ParlaSpeech-HR dataset is built from parliamentary proceedings available in the Croatian part of the ParlaMint corpus and the parliamentary recordings available from the Croatian Parliament's YouTube channel. The corpus consists of segments 8-20 seconds in length. There are two transcripts available: the original one, and the one normalised via a simple rule-based normaliser. Each of the transcripts contains word-level alignments to the recordings. Each segment has a reference to the ParlaMint 2.1 corpus (http://hdl.handle.net/11356/1432) via utterance IDs. If a segment is based on a single utterance, speaker information for that segment is available as well. There is speaker information available for 381,849 segments, i.e., 95% of all segments. Speaker information consists of all the speaker information available from the ParlaMint 2.1 corpus (name, party, gender, age, status, role). There are all together 309 speakers in the dataset. The dataset is divided into a training, a development, and a testing subset. Development data consist of 500 segments coming from the 5 most frequent speakers, with the goal of not losing speaker variety on dev data. Test data consist of 513 segments that come from 3 male (258 segments) and 3 female speakers (255 segments). There are no segments coming from the 6 test speakers in the two remaining subsets. The 22,076 instances not having speaker information are not assigned to any of the three subsets. The remaining 380,836 instances form the training set.
Keyword: automatic speech recognition; parliamentary debates; speech database; speech recognition; speech recordings; speech transcription
URL: http://hdl.handle.net/11356/1494
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9
Review on multichannel emotion perception in ASD (Zhang et al., 2022) ...
Zhang, Minyue; Chen, Yu; Lin, Yi. - : ASHA journals, 2022
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10
Review on multichannel emotion perception in ASD (Zhang et al., 2022) ...
Zhang, Minyue; Chen, Yu; Lin, Yi. - : ASHA journals, 2022
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11
Towards a Perceptual Model for Estimating the Quality of Visual Speech ...
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An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production ...
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13
Expression-preserving face frontalization improves visually assisted speech processing ...
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14
Freeform Body Motion Generation from Speech ...
Xu, Jing; Zhang, Wei; Bai, Yalong. - : arXiv, 2022
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15
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ...
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Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ...
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Interactions Among Reverberation, WDRC, and WM (Reinhart & Souza, 2016) ...
Reinhart, Paul N.; Souza, Pamela E.. - : ASHA journals, 2022
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18
Robust speech recognition for low-resource languages ...
Romanenko, Aleksei. - : Universität Ulm, 2022
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19
Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
Uhrig, Stefan; Perkis, Andrew; Möller, Sebastian. - : Technische Universität Berlin, 2022
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20
Detection and Recognition of Asynchronous Auditory/Visual Speech: Effects of Age, Hearing Loss, and Talker Accent ...
Gordon-Salant, Sandra; Schwartz, Maya; Oppler, Kelsey. - : Digital Repository at the University of Maryland, 2022
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