1 |
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
|
|
|
|
In: INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
|
|
BASE
|
|
Show details
|
|
2 |
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
|
|
|
|
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
|
|
BASE
|
|
Show details
|
|
3 |
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
|
|
|
|
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
|
|
BASE
|
|
Show details
|
|
4 |
The contribution of visual articulatory gestures and orthography to speech processing: Evidence from novel word learning
|
|
|
|
In: ISSN: 0278-7393 ; EISSN: 1939-1285 ; Journal of Experimental Psychology: Learning, Memory, and Cognition ; https://hal.archives-ouvertes.fr/hal-03189083 ; Journal of Experimental Psychology: Learning, Memory, and Cognition, American Psychological Association, In press, ⟨10.1037/xlm0001036⟩ (2021)
|
|
BASE
|
|
Show details
|
|
5 |
Learning robust speech representation with an articulatory-regularized variational autoencoder
|
|
|
|
In: Proccedings of Interspeech 2021 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03373252 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Do Infants Really Learn Phonetic Categories?
|
|
|
|
In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03550830 ; Open Mind, MIT Press, 2021, 5, pp.113-131. ⟨10.1162/opmi_a_00046⟩ (2021)
|
|
BASE
|
|
Show details
|
|
9 |
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
|
|
Yongwan Lim; Toutios, Asterios; Bliesener, Yannick; Tian, Ye; Sajan Goud Lingala; Vaz, Colin; Sorensen, Tanner; Oh, Miran; Harper, Sarah; Weiyi Chen; Yoonjeong Lee; Töger, Johannes; Mairym Lloréns Montesserin; Smith, Caitlin; Godinez, Bianca; Goldstein, Louis; Byrd, Dani; Nayak, Krishna S; Shrikanth Narayanan. - : figshare, 2021
|
|
Abstract:
Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development, and clinical applications. Easy access to RT-MRI is however limited, and comprehensive datasets with broad access are needed to catalyze research across numerous domains. The imaging of the rapidly moving articulators and dynamic airway shaping during speech demands high spatio-temporal resolution and robust reconstruction methods. Further, while reconstructed images have been published, to-date there is no open dataset providing raw multi-coil RT-MRI data from an optimized speech production experimental setup. Such datasets could enable new and improved methods for dynamic image reconstruction, artifact correction, feature extraction, and direct extraction of linguistically-relevant biomarkers. The present dataset offers a unique corpus of 2D sagittal-view RT-MRI videos along with synchronized audio for 75 subjects performing ...
|
|
Keyword:
170203 Knowledge Representation and Machine Learning; 170204 Linguistic Processes incl. Speech Production and Comprehension; 200404 Laboratory Phonetics and Speech Science; 80106 Image Processing; 90303 Biomedical Instrumentation; 90304 Medical Devices; 90609 Signal Processing; Artificial Intelligence and Image Processing; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; FOS Languages and literature; FOS Medical engineering; FOS Psychology; Linguistics
|
|
URL: https://dx.doi.org/10.6084/m9.figshare.13725546 https://figshare.com/articles/dataset/A_multispeaker_dataset_of_raw_and_reconstructed_speech_production_real-time_MRI_video_and_3D_volumetric_images/13725546
|
|
BASE
|
|
Hide details
|
|
11 |
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Models and activations for "Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation" ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Models and activations for "Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation" ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Manual praxis and language-production networks: An fMRI dataset ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Le discours médiatique comme relation de pouvoir symbolique : pratiques de médiatisation de la diaspora
|
|
|
|
In: Argumentum: Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric, Vol 19, Iss 1, Pp 45-65 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
18 |
Towards unsupervised learning of speech features in the wild
|
|
|
|
In: SLT 2020 : IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03070411 ; SLT 2020 : IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual, China (2020)
|
|
BASE
|
|
Show details
|
|
19 |
Evaluating the reliability of acoustic speech embeddings
|
|
|
|
In: INTERSPEECH 2020 - Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02977539 ; INTERSPEECH 2020 - Annual Conference of the International Speech Communication Association, Oct 2020, Shanghai / Vitrtual, China (2020)
|
|
BASE
|
|
Show details
|
|
20 |
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
|
|
|
|
In: SLT 2020 - IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03070321 ; SLT 2020 - IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual, China (2020)
|
|
BASE
|
|
Show details
|
|
|
|