| Environmental sound monitoring using machine learning on mobile devices M Green, D Murphy Applied Acoustics 159, 107041, 2020 | 38 | 2020 |
| EigenScape: A database of spatial acoustic scene recordings MC Green, D Murphy Applied Sciences 7 (11), 1204, 2017 | 35 | 2017 |
| Acoustic Scene Classification Using Spatial Features. MC Green, DT Murphy DCASE, 42-45, 2017 | 16 | 2017 |
| Acoustic scene classification using higher-order ambisonic features MC Green, S Adavanne, D Murphy, T Virtanen 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 4 | 2019 |
| Federated learning with highly imbalanced audio data MC Green, MD Plumbley arXiv preprint arXiv:2105.08550, 2021 | 3 | 2021 |
| Assessing the Suitability of the Magnitude Slope Deviation Detection Criterion for Use in Automatic Acoustic Feedback Control MC Green, J Szymanski, M Speed, U Penryn Proceedings of the 19th International Conference on Digital Audio Effects …, 2016 | 3 | 2016 |
| Enhancing Student Employability Through Innovative Program Design: A Case Study J Brereton, H Daffern, M Green, F Stevens, A Hunt Audio Education, 275-295, 2020 | 2 | 2020 |
| Sound source localisation in ambisonic audio using peak clustering M Green, D Murphy | 2 | 2019 |
| Environmental sound monitoring using machine listening and spatial audio M Green University of York, 2021 | 1 | 2021 |
| Enhancing student employability through innovative program design J Brereton, H Daffern, M Green, F Stevens, A Hunt Audio Education: Theory, Culture, and Practice 275, 2020 | 1 | 2020 |
| Exploring Sound Sensing to Improve Quality of Life in Urban Living EM CORRIGAN-KAVANAGH, MD PLUMBLEY, M Green, A Fernandez Urban Sound Symposium 2021 (USS2021), 0 | | |
