| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1305 | 2024 |
| Audiopalm: A large language model that can speak and listen PK Rubenstein, C Asawaroengchai, DD Nguyen, A Bapna, Z Borsos, ... arXiv preprint arXiv:2306.12925, 2023 | 218 | 2023 |
| LEAF: A learnable frontend for audio classification N Zeghidour, O Teboul, FDC Quitry, M Tagliasacchi arXiv preprint arXiv:2101.08596, 2021 | 188 | 2021 |
| Towards learning a universal non-semantic representation of speech J Shor, A Jansen, R Maor, O Lang, O Tuval, FDC Quitry, M Tagliasacchi, ... arXiv preprint arXiv:2002.12764, 2020 | 171 | 2020 |
| Acoustic modelling with cd-ctc-smbr lstm rnns A Senior, H Sak, F de Chaumont Quitry, T Sainath, K Rao 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 163 | 2015 |
| Pre-training audio representations with self-supervision M Tagliasacchi, B Gfeller, F de Chaumont Quitry, D Roblek IEEE Signal Processing Letters 27, 600-604, 2020 | 60 | 2020 |
| Self-supervised audio representation learning for mobile devices M Tagliasacchi, B Gfeller, FC Quitry, D Roblek arXiv preprint arXiv:1905.11796, 2019 | 52 | 2019 |
| Disentangling speech from surroundings with neural embeddings A Omran, N Zeghidour, Z Borsos, F de Chaumont Quitry, M Slaney, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 14* | 2023 |
| Learning audio representations via phase prediction FC Quitry, M Tagliasacchi, D Roblek arXiv preprint arXiv:1910.11910, 2019 | 9 | 2019 |
| High quality agreement-based semi-supervised training data for acoustic modeling F de Chaumont Quitry, A Oines, P Moreno, E Weinstein 2016 IEEE Spoken Language Technology Workshop (SLT), 592-596, 2016 | 8 | 2016 |
| Audiopalm: A large language model that can speak and listen (2023) PK Rubenstein, C Asawaroengchai, DD Nguyen, A Bapna, Z Borsos, ... arXiv preprint arXiv:2306.12925, 2021 | 6 | 2021 |
| Ramanovich PK Rubenstein, C Asawaroengchai, DD Nguyen, A Bapna, Z Borsos, ... Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent …, 2023 | 5 | 2023 |
| Learning audio representations via phase prediction F de Chaumont Quitry, M Tagliasacchi, D Roblek arXiv e-prints, arXiv: 1910.11910, 2019 | 5 | 2019 |
| Multi-task adapter neural networks M Tagliasacchi, F de Chaumont Quitry, D Roblek US Patent App. 17/764,005, 2022 | 2 | 2022 |
| CycleGAN-based Unpaired Speech Dereverberation H Muckenhirn, A Safin, H Erdogan, FC Quitry, M Tagliasacchi, S Wisdom, ... arXiv preprint arXiv:2203.15652, 2022 | 2 | 2022 |
| Self-supervised audio representation learning for mobile devices B Gfeller, D Roblek, F de Chaumont Quitry, M Tagliasacchi US Patent 11,501,787, 2022 | 1 | 2022 |
| Multi-task adapters for on-device audio inference M Tagliasacchi, F de Chaumont Quitry, D Roblek IEEE Signal Processing Letters 27, 630-634, 2020 | 1 | 2020 |
| Compressing audio waveforms using a structured latent space A Omran, N Zeghidour, Z Borsos, F de Chaumont Quitry, M Tagliasacchi US Patent App. 18/278,746, 2025 | | 2025 |
| Generating audio waveforms using encoder and decoder neural networks Y Li, M Tagliasacchi, D Roblek, F de Chaumont Quitry, B Gfeller, ... US Patent 12,190,896, 2025 | | 2025 |
| Self-supervised audio representation learning for mobile devices B Gfeller, D Roblek, F de Chaumont Quitry, M Tagliasacchi US Patent 12,165,663, 2024 | | 2024 |
