| 1 |
The Zero Resource Speech Challenge 2021: Spoken language modelling
|
|
|
|
In: ISSN: 0162-8828 ; IEEE Transactions on Pattern Analysis and Machine Intelligence ; https://hal.inria.fr/hal-03329301 ; IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2021, pp.1-1. ⟨10.1109/TPAMI.2021.3083839⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
The Zero Resource Speech Challenge 2021: Spoken language modelling
|
|
|
|
In: Interspeech 2021 - Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-03329301 ; Interspeech 2021 - Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. ⟨10.1109/TPAMI.2021.3083839⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
|
|
|
|
In: INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-03329245 ; INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Communicating artificial neural networks develop efficient color-naming systems
|
|
|
|
In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.inria.fr/hal-03329084 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (12), ⟨10.1073/pnas.2016569118⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Generative Spoken Language Modeling from Raw Audio ...
|
|
The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adi, Yossi; Baevski, Alexei; Bolte, Benjamin; Copet, Jade; Dupoux, Emmanuel; Hsu, Wei-Ning; Kharitonov, Eugene; Lakhotia, Kushal; Mohamed, Abdelrahman; Nguyen, Tu-Anh; Polyak, Adam. - : Underline Science Inc., 2021
|
|
Abstract:
Generative spoken language modeling involves learning jointly the acoustic and linguistic characteristics of a language from raw audio only (without text or labels). We introduce metrics to automatically evaluate the generated output in terms of acoustic and linguistic quality in two associated end-to-end tasks, respectively: speech resynthesis (repeating the speech input using the system's own voice), and speech generation (producing novel speech outputs conditional on a spoken prompt, or unconditionally), and validate these metrics with human judgment. We test baseline systems consisting of a discrete speech encoder (returning discrete, low bitrate, pseudo-text units), a generative language model (trained on pseudo-text units), and a speech decoder (generating a waveform from pseudo-text). By comparing three state-of-the-art unsupervised speech encoders (Contrastive Predictive Coding (CPC), wav2vec 2.0, HuBERT), and varying the number of discrete units (50, 100, 200), we investigate how the generative ...
|
|
URL: https://underline.io/lecture/38203-generative-spoken-language-modeling-from-raw-audio
https://dx.doi.org/10.48448/8j6n-6921
|
|
BASE
|
|
Hide details
|
|
|
| 7 |
The Zero Resource Speech Challenge 2021: Spoken language modelling ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Textless Speech Emotion Conversion using Discrete and Decomposed Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Communicating artificial neural networks develop efficient color-naming systems
|
|
|
|
In: Proc Natl Acad Sci U S A (2021)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Compositionality and Generalization in Emergent Languages
|
|
|
|
In: ACL 2020 - 8th annual meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02959466 ; ACL 2020 - 8th annual meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States (2020)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
LIBRI-LIGHT: a benchmark for asr with limited or no supervision
|
|
|
|
In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-02959460 ; ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona / Virtual, Spain. pp.7669-7673, ⟨10.1109/ICASSP40776.2020.9052942⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
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
|
|
|
| 13 |
Anti-efficient encoding in emergent communication
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-02274205 ; 2019 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Word-order biases in deep-agent emergent communication
|
|
|
|
In: ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02274157 ; ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy (2019)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
EGG: a toolkit for research on Emergence of lanGuage in Games
|
|
|
|
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations ; https://hal.archives-ouvertes.fr/hal-02274229 ; Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, Nov 2019, Hong Kong, China. ⟨10.18653/v1/D19-3010⟩ (2019)
|
|
BASE
|
|
Show details
|
|
|
|
|
