@inproceedings{pei2025data,title={Data-Driven White Noise Gain Constrained Robust Superdirective Beamformer for Speech Enhancement},author={Pei, Hanchen and Huang, Gongping and Jin, Jilu and Ma, Jianbo and Wu, Zhizheng and Chen, Jingdong and Benesty, Jacob},booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},pages={1--5},year={2025},organization={IEEE},}
Rethinking mamba in speech processing by self-supervised models
Xiangyu Zhang, Jianbo Ma, Mostafa Shahin, and 2 more authors
In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{zhang2025rethinking,title={Rethinking mamba in speech processing by self-supervised models},author={Zhang, Xiangyu and Ma, Jianbo and Shahin, Mostafa and Ahmed, Beena and Epps, Julien},booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},pages={1--5},year={2025},organization={IEEE},}
Diff-SAGe: End-to-End Spatial Audio Generation Using Diffusion Models
Saksham Singh Kushwaha, Jianbo Ma, Mark R. P. Thomas, and 2 more authors
In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
@inproceedings{10888882,author={Kushwaha, Saksham Singh and Ma, Jianbo and Thomas, Mark R. P. and Tian, Yapeng and Bruni, Avery},booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},title={Diff-SAGe: End-to-End Spatial Audio Generation Using Diffusion Models},year={2025},volume={},number={},pages={1-5},keywords={Measurement;Scalability;Spatial audio;Semantics;Phase estimation;Noise;Diffusion models;MONOS devices;Speech processing;Spectrogram;Spatial audio generation;Ambisonics},doi={10.1109/ICASSP49660.2025.10888882},}
2024
Gotta hear them all: Sound source aware vision to audio generation
@article{guo2024gotta,title={Gotta hear them all: Sound source aware vision to audio generation},author={Guo, Wei and Wang, Heng and Ma, Jianbo and Cai, Weidong},journal={arXiv preprint arXiv:2411.15447},year={2024},}
A unified multichannel far-field speech recognition system: combining neural beamforming with attention based end-to-end model
@article{zhao2024unified,title={A unified multichannel far-field speech recognition system: combining neural beamforming with attention based end-to-end model},author={Zhao, Dongdi and Ma, Jianbo and Lu, Lu and Li, Jinke and Ji, Xuan and Zhu, Lei and Fang, Fuming and Liu, Ming and Jiang, Feijun},journal={arXiv preprint arXiv:2401.02673},url={https://arxiv.org/pdf/2401.02673},year={2024},}
V2a-mapper: A lightweight solution for vision-to-audio generation by connecting foundation models
Heng Wang, Jianbo Ma, Santiago Pascual, and 2 more authors
In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
@inproceedings{wang2024v2a,title={V2a-mapper: A lightweight solution for vision-to-audio generation by connecting foundation models},author={Wang, Heng and Ma, Jianbo and Pascual, Santiago and Cartwright, Richard and Cai, Weidong},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},volume={38},number={14},pages={15492--15501},year={2024},}
A low latency attention module for streaming self-supervised speech representation learning (second version of ’low latency attention’)
Jianbo Ma, Siqi Pan, Deepak Chandran, and 2 more authors
@article{ma2023low,title={A low latency attention module for streaming self-supervised speech representation learning (second version of 'low latency attention')},author={Ma, Jianbo and Pan, Siqi and Chandran, Deepak and Fanelli, Andrea and Cartwright, Richard},journal={arXiv preprint arXiv:2302.13451},year={2024},url={https://arxiv.org/abs/2302.13451},}
2023
Low latency transformers for speech processing
Jianbo Ma, Siqi Pan, Deepak Chandran, and 2 more authors
@article{ma2023lox,title={Low latency transformers for speech processing},author={Ma, Jianbo and Pan, Siqi and Chandran, Deepak and Fanelli, Andrea and Cartwright, Richard},journal={arXiv preprint arXiv:2302.13451},year={2023},url={https://arxiv.org/abs/2302.13451},}
2022
Hidden Markov Models and Connectionist Temporal Classification
