| YFCC100M: The new data in multimedia research B Thomee, DA Shamma, G Friedland, B Elizalde, K Ni, D Poland, D Borth, ... Communications of the ACM 59 (2), 64-73, 2016 | 2832* | 2016 |
| Clap learning audio concepts from natural language supervision B Elizalde, S Deshmukh, M Al Ismail, H Wang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 854 | 2023 |
| DCASE 2017 challenge setup: Tasks, datasets and baseline system A Mesaros, T Heittola, A Diment, B Elizalde, A Shah, E Vincent, B Raj, ... DCASE 2017-workshop on detection and classification of acoustic scenes and …, 2017 | 638 | 2017 |
| Pengi: An audio language model for audio tasks S Deshmukh, B Elizalde, R Singh, H Wang Advances in Neural Information Processing Systems 36, 18090-18108, 2023 | 284 | 2023 |
| Sound event detection in the DCASE 2017 challenge A Mesaros, A Diment, B Elizalde, T Heittola, E Vincent, B Raj, T Virtanen IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (6), 992-1006, 2019 | 181 | 2019 |
| Natural language supervision for general-purpose audio representations B Elizalde, S Deshmukh, H Wang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 118 | 2024 |
| Cross modal audio search and retrieval with joint embeddings based on text and audio B Elizalde, S Zarar, B Raj ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 77 | 2019 |
| Audio Retrieval with WavText5K and CLAP Training S Deshmukh, B Elizalde, H Wang Proc. INTERSPEECH 2023, 2948--2952, 2023 | 71 | 2023 |
| Content-based representations of audio using siamese neural networks P Manocha, R Badlani, A Kumar, A Shah, B Elizalde, B Raj 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 66 | 2018 |
| Experimentation on the dcase challenge 2016: Task 1-acoustic scene classification and task 3-sound event detection in real life audio B Elizalde, A Kumar, A Shah, R Badlani, E Vincent, B Raj, I Lane IEEE AASP Challenge: Detection and Classification of Acoustic Scenes and …, 2016 | 63* | 2016 |
| The placing task: A large-scale geo-estimation challenge for social-media videos and images J Choi, B Thomee, G Friedland, L Cao, K Ni, D Borth, B Elizalde, ... Proceedings of the 3rd acm multimedia workshop on geotagging and its …, 2014 | 54 | 2014 |
| Notsofar-1 challenge: New datasets, baseline, and tasks for distant meeting transcription A Vinnikov, A Ivry, A Hurvitz, I Abramovski, S Koubi, I Gurvich, S Peer, ... arXiv preprint arXiv:2401.08887, 2024 | 49 | 2024 |
| Pam: Prompting audio-language models for audio quality assessment S Deshmukh, D Alharthi, B Elizalde, H Gamper, MA Ismail, R Singh, B Raj, ... arXiv preprint arXiv:2402.00282, 2024 | 40 | 2024 |
| Audio concept classification with hierarchical deep neural networks M Ravanelli, B Elizalde, K Ni, G Friedland 2014 22nd European Signal Processing Conference (EUSIPCO), 606-610, 2014 | 39 | 2014 |
| Never-Ending Learning of Sounds BM Elizalde PQDT-Global, 2020 | 36* | 2020 |
| AudioPairBank: towards a large-scale tag-pair-based audio content analysis S Säger, B Elizalde, D Borth, C Schulze, B Raj, I Lane EURASIP Journal on Audio, Speech, and Music Processing 2018 (1), 12, 2018 | 34* | 2018 |
| Sound event classification using ontology-based neural networks A Jimenez, B Elizalde, B Raj Proceedings of the Annual Conference on Neural Information Processing Systems 9, 2018 | 33 | 2018 |
| Training audio captioning models without audio S Deshmukh, B Elizalde, D Emmanouilidou, B Raj, R Singh, H Wang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 32 | 2024 |
| An approach for self-training audio event detectors using web data B Elizalde, A Shah, S Dalmia, MH Lee, R Badlani, A Kumar, B Raj, I Lane 2017 25th European Signal Processing Conference (EUSIPCO), 1863-1867, 2017 | 29* | 2017 |
| An i-vector based approach for audio scene detection B Elizalde, H Lei, G Friedland, N Peters IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2013 | 29 | 2013 |
Gerald FriedlandFaculty UC Berkeley, Principal Scientist Amazon AWSVerified email at eecs.berkeley.edu
