| Differentiable consistency constraints for improved deep speech enhancement S Wisdom, JR Hershey, K Wilson, J Thorpe, M Chinen, B Patton, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 111 | 2019 |
| ViSQOL v3: An open source production ready objective speech and audio metric M Chinen, FSC Lim, J Skoglund, N Gureev, F O'Gorman, A Hines 2020 twelfth international conference on quality of multimedia experience …, 2020 | 104 | 2020 |
| Generative speech coding with predictive variance regularization WB Kleijn, A Storus, M Chinen, T Denton, FSC Lim, A Luebs, J Skoglund, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 62 | 2021 |
| Exploring tradeoffs in models for low-latency speech enhancement K Wilson, M Chinen, J Thorpe, B Patton, J Hershey, RA Saurous, ... 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018 | 51 | 2018 |
| AMBIQUAL-a full reference objective quality metric for ambisonic spatial audio M Narbutt, A Allen, J Skoglund, M Chinen, A Hines 2018 tenth international conference on quality of multimedia experience …, 2018 | 31 | 2018 |
| Ambiqual: Towards a quality metric for headphone rendered compressed ambisonic spatial audio M Narbutt, J Skoglund, A Allen, M Chinen, D Barry, A Hines Applied Sciences 10 (9), 3188, 2020 | 23 | 2020 |
| WARP-Q: Quality prediction for generative neural speech codecs WA Jassim, J Skoglund, M Chinen, A Hines ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 22 | 2021 |
| Robust low rate speech coding based on cloned networks and wavenet FSC Lim, WB Kleijn, M Chinen, J Skoglund ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 15 | 2020 |
| Genesynth: Noise band-based genetic algorithm analysis/synthesis framework M Chinen, N Osaka ICMC, 2007 | 14 | 2007 |
| Using rater and system metadata to explain variance in the voicemos challenge 2022 dataset M Chinen, J Skoglund, CKA Reddy, A Ragano, A Hines arXiv preprint arXiv:2209.06358, 2022 | 10 | 2022 |
| Speech quality factors for traditional and neural-based low bit rate vocoders WA Jassim, J Skoglund, M Chinen, A Hines 2020 Twelfth International Conference on Quality of Multimedia Experience …, 2020 | 10 | 2020 |
| Lmcodec: A low bitrate speech codec with causal transformer models T Jenrungrot, M Chinen, WB Kleijn, J Skoglund, Z Borsos, N Zeghidour, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| Speech quality estimation with deep lattice networks M Chinen, J Skoglund, A Hines The Journal of the Acoustical Society of America 149 (6), 3851-3861, 2021 | 8 | 2021 |
| A comparison of deep learning mos predictors for speech synthesis quality A Ragano, E Benetos, M Chinen, HB Martinez, CKA Reddy, J Skoglund, ... 2023 34th Irish Signals and Systems Conference (ISSC), 1-6, 2023 | 5 | 2023 |
| Ultra-low-bitrate speech coding with pretrained transformers A Siahkoohi, M Chinen, T Denton, WB Kleijn, J Skoglund arXiv preprint arXiv:2207.02262, 2022 | 4 | 2022 |
| Marginal effects of language and individual raters on speech quality models M Chinen IEEE Access 9, 127320-127334, 2021 | 4 | 2021 |
| Generative speech enhancement based on cloned networks M Chinen, WB Kleijn, FSC Lim, J Skoglund 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 4 | 2019 |
| Salient speech representations based on cloned networks WB Kleijn, FSC Lim, M Chinen, J Skoglund arXiv preprint arXiv:1908.07045, 2019 | 4 | 2019 |
| Speech quality assessment with WARP‐Q: From similarity to subsequence dynamic time warp cost WA Jassim, J Skoglund, M Chinen, A Hines IET Signal Processing 16 (9), 1050-1070, 2022 | 2 | 2022 |
| Handling background noise in neural speech generation T Denton, A Luebs, M Chinen, FSC Lim, A Storus, H Yeh, WB Kleijn, ... 2020 54th Asilomar Conference on Signals, Systems, and Computers, 667-671, 2020 | 2 | 2020 |
