| An end-to-end neural network for polyphonic piano music transcription S Sigtia, E Benetos, S Dixon IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 927-939, 2016 | 449 | 2016 |
| Improved music feature learning with deep neural networks S Sigtia, S Dixon 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 176 | 2014 |
| Chime-home: A dataset for sound source recognition in a domestic environment P Foster, S Sigtia, S Krstulovic, J Barker, MD Plumbley 2015 IEEE Workshop on Applications of Signal Processing to Audio and …, 2015 | 121 | 2015 |
| Automatic environmental sound recognition: Performance versus computational cost S Sigtia, AM Stark, S Krstulović, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016 | 114 | 2016 |
| Unsupervised feature learning based on deep models for environmental audio tagging Y Xu, Q Huang, W Wang, P Foster, S Sigtia, PJB Jackson, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1230 …, 2017 | 104 | 2017 |
| Audio Chord Recognition with a Hybrid Recurrent Neural Network. S Sigtia, N Boulanger-Lewandowski, S Dixon ISMIR, 127-133, 2015 | 96 | 2015 |
| A hybrid recurrent neural network for music transcription S Sigtia, E Benetos, N Boulanger-Lewandowski, T Weyde, ASA Garcez, ... 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 65 | 2015 |
| Multi-Task Learning for Speaker Verification and Voice Trigger Detection S Sigtia, E Marchi, S Kajarekar, D Naik, J Bridle ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 63 | 2020 |
| Multi-task Learning for Voice Trigger Detection S Sigtia, P Clark, R Haynes, H Richards, J Bridle 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 63* | 2020 |
| An RNN-based music language model for improving automatic music transcription S Sigtia, E Benetos, S Cherla, T Weyde, A Garcez, S Dixon http://www. terasoft. com. tw/conf/ismir2014//proceedings …, 2014 | 51 | 2014 |
| Efficient Voice Trigger Detection for Low Resource Hardware S Sigtia, R Haynes, H Richards, E Marchi, J Bridle Interspeech, 2092-2096, 2018 | 48 | 2018 |
| Generalised discriminative transform via curriculum learning for speaker recognition E Marchi, S Shum, K Hwang, S Kajarekar, S Sigtia, H Richards, R Haynes, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 31 | 2018 |
| Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering S Adya, V Garg, S Sigtia, P Simha, C Dhir INTERSPEECH, 2020 | 22 | 2020 |
| Progressive voice trigger detection: Accuracy vs latency S Sigtia, J Bridle, H Richards, P Clark, E Marchi, V Garg ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 16 | 2021 |
| A denoising autoencoder that guides stochastic search AW Churchill, S Sigtia, C Fernando arXiv preprint arXiv:1404.1614, 2014 | 14 | 2014 |
| Streaming transformer for hardware efficient voice trigger detection and false trigger mitigation V Garg, W Chang, S Sigtia, S Adya, P Simha, P Dighe, C Dhir arXiv preprint arXiv:2105.06598, 2021 | 12 | 2021 |
| A multimodal approach to device-directed speech detection with large language models D Wagner, A Churchill, S Sigtia, P Georgiou, M Mirsamadi, A Mishra, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 11 | 2024 |
| Learning to generate genotypes with neural networks AW Churchill, S Sigtia, C Fernando arXiv preprint arXiv:1604.04153, 2016 | 7 | 2016 |
| SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions D Wagner, A Churchill, S Sigtia, E Marchi ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | 4 | 2025 |
| Multimodal data and resource efficient device-directed speech detection with large foundation models D Wagner, A Churchill, S Sigtia, P Georgiou, M Mirsamadi, A Mishra, ... arXiv preprint arXiv:2312.03632, 2023 | 4 | 2023 |
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
