Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis G Sun, Y Zhang, RJ Weiss, Y Cao, H Zen, Y Wu ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 147 | 2020 |
Salmonn: Towards generic hearing abilities for large language models C Tang, W Yu, G Sun, X Chen, T Tan, W Li, L Lu, Z Ma, C Zhang arXiv preprint arXiv:2310.13289, 2023 | 128 | 2023 |
Generating diverse and natural text-to-speech samples using a quantized fine-grained vae and autoregressive prosody prior G Sun, Y Zhang, RJ Weiss, Y Cao, H Zen, A Rosenberg, B Ramabhadran, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 117* | 2020 |
Speaker diarisation using 2D self-attentive combination of embeddings G Sun, C Zhang, PC Woodland ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 39 | 2019 |
Transformer language models with LSTM-based cross-utterance information representation G Sun, C Zhang, PC Woodland ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 38 | 2021 |
Connecting speech encoder and large language model for asr W Yu, C Tang, G Sun, X Chen, T Tan, W Li, L Lu, Z Ma, C Zhang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 30 | 2024 |
Tree-constrained pointer generator for end-to-end contextual speech recognition G Sun, C Zhang, PC Woodland 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 28 | 2021 |
Combination of deep speaker embeddings for diarisation G Sun, C Zhang, PC Woodland Neural Networks 141, 372-384, 2021 | 17 | 2021 |
Can contextual biasing remain effective with Whisper and GPT-2? G Sun, X Zheng, C Zhang, PC Woodland arXiv preprint arXiv:2306.01942, 2023 | 15 | 2023 |
Minimising biasing word errors for contextual ASR with the tree-constrained pointer generator G Sun, C Zhang, PC Woodland IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 345-354, 2022 | 14 | 2022 |
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch J Hwang, M Hira, C Chen, X Zhang, Z Ni, G Sun, P Ma, R Huang, V Pratap, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-9, 2023 | 11 | 2023 |
Tree-constrained pointer generator with graph neural network encodings for contextual speech recognition G Sun, C Zhang, PC Woodland arXiv preprint arXiv:2207.00857, 2022 | 10 | 2022 |
End-to-end spoken language understanding with tree-constrained pointer generator G Sun, C Zhang, PC Woodland ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
Large language models surpass human experts in predicting neuroscience results X Luo, A Rechardt, G Sun, KK Nejad, F Yáñez, B Yilmaz, K Lee, ... arXiv preprint arXiv:2403.03230, 2024 | 8 | 2024 |
Fine-grained audio-visual joint representations for multimodal large language models G Sun, W Yu, C Tang, X Chen, T Tan, W Li, L Lu, Z Ma, C Zhang arXiv preprint arXiv:2310.05863, 2023 | 7 | 2023 |
Knowledge-aware audio-grounded generative slot filling for limited annotated data G Sun, C Zhang, I Vulić, P Budzianowski, PC Woodland Computer Speech & Language 89, 101707, 2025 | 6 | 2025 |
Cross-utterance conditioned VAE for non-autoregressive text-to-speech Y Li, C Yu, G Sun, H Jiang, F Sun, W Zu, Y Wen, Y Yang, J Wang arXiv preprint arXiv:2205.04120, 2022 | 6 | 2022 |
Cross-utterance language models with acoustic error sampling G Sun, C Zhang, PC Woodland arXiv preprint arXiv:2009.01008, 2020 | 5 | 2020 |
Affect recognition in conversations using large language models S Feng, G Sun, N Lubis, W Wu, C Zhang, M Gašić arXiv preprint arXiv:2309.12881, 2023 | 4 | 2023 |
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models G Sun, W Yu, C Tang, X Chen, T Tan, W Li, L Lu, Z Ma, Y Wang, C Zhang arXiv preprint arXiv:2406.15704, 2024 | 3 | 2024 |