| MAE-AST: Masked Autoencoding Audio Spectrogram Transformer A Baade, P Peng, D Harwath Interspeech 2022, 2022 | 111 | 2022 |
| Voicecraft: Zero-shot speech editing and text-to-speech in the wild P Peng, PY Huang, SW Li, A Mohamed, D Harwath arXiv preprint arXiv:2403.16973, 2024 | 61 | 2024 |
| Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization P Peng, B Yan, S Watanabe, D Harwath Interspeech 2023, 2023 | 49 | 2023 |
| Word discovery in visually grounded, self-supervised speech models P Peng, D Harwath Interspeech 2022, 2022 | 49 | 2022 |
| Fast-slow transformer for visually grounding speech P Peng, D Harwath ICASSP 2022, 2022 | 38 | 2022 |
| Self-supervised representation learning for speech using visual grounding and masked language modeling P Peng, D Harwath AAAI 2022 SAS Workshop, 2022 | 33 | 2022 |
| A correspondence variational autoencoder for unsupervised acoustic word embeddings P Peng, H Kamper, K Livescu NeurIPS 2020 SAS Workshop, 2020 | 17 | 2020 |
| Bat: Learning to reason about spatial sounds with large language models Z Zheng, P Peng, Z Ma, X Chen, E Choi, D Harwath arXiv preprint arXiv:2402.01591, 2024 | 13 | 2024 |
| AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models Y Tseng, L Berry*, YT Chen*, I Chiu*, HH Lin*, M Liu*, P Peng*, YJ Shih*, ... preprint, 2023 | 11 | 2023 |
| Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model P Peng, SW Li, O Räsänen, A Mohamed, D Harwath Interspeech 2023, 2023 | 11* | 2023 |
| Dynamic-superb phase-2: A collaboratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks C Huang, WC Chen, S Yang, AT Liu, CA Li, YX Lin, WC Tseng, A Diwan, ... arXiv preprint arXiv:2411.05361, 2024 | 6 | 2024 |
| Audio-Visual Neural Syntax Acquisition CIJ Lai*, F Shi*, P Peng*, Y Kim, K Gimpel, S Chang, YS Chuang, S Bhati, ... ASRU 2023, 2023 | 6 | 2023 |
| Zero-shot Video Moment Retrieval With Off-the-Shelf Models A Diwan*, P Peng*, RJ Mooney (* denotes equal contribution) NeurIPS 2022 TL4NLP, 2022 | 6 | 2022 |
| Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos C Chen*, P Peng*, A Baid, Z Xue, WN Hsu, D Harwarth, K Grauman arXiv preprint arXiv:2406.09272, 2024 | 3 | 2024 |
| SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data HF Wang, YJ Shih, HJ Chang, L Berry, P Peng, H Lee, HM Wang, ... 2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024 | 3 | 2024 |
| Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos C Hori, P Peng, D Harwath, X Liu, K Ota, S Jain, R Corcodel, D Jha, ... Interspeech 2023, 2023 | 3 | 2023 |
| Syllablelm: Learning coarse semantic units for speech language models A Baade, P Peng, D Harwath arXiv preprint arXiv:2410.04029, 2024 | 2 | 2024 |
| Neural codec language models for disentangled and textless voice conversion A Baade, P Peng, D Harwath Proc. Interspeech 2024, 182-186, 2024 | 2 | 2024 |
| Textless phrase structure induction from visually-grounded speech CI Lai, F Shi, P Peng, Y Kim, K Gimpel, S Chang, YS Chuang, S Bhati, ... | 2 | 2023 |
| Integrating self-supervised speech model with pseudo word-level targets from visually-grounded speech model HC Fang, NX Ye, YJ Shih, P Peng, HF Wang, L Berry, H Lee, D Harwath 2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024 | 1 | 2024 |
David HarwathThe University of Texas at Austin確認したメール アドレス: utexas.edu
