| Model Compression Applied to Small-Footprint Keyword Spotting. G Tucker, M Wu, M Sun, S Panchapagesan, G Fu, S Vitaladevuni INTERSPEECH, 1878-1882, 2016 | 108 | 2016 |
| MONOPHONE-BASED BACKGROUND MODELING FOR TWO-STAGE ON-DEVICE WAKE WORD DETECTION M Wu, S Panchapagesan, M Sun, J Gu, R Thomas, SNP Vitaladevuni, ... | 90 | 2018 |
| Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning L Mošner, M Wu, A Raju, SHK Parthasarathi, K Kumatani, S Sundaram, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 75 | 2019 |
| Direct modeling of raw audio with dnns for wake word detection K Kumatani, S Panchapagesan, M Wu, M Kim, N Strom, G Tiwari, ... 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 62 | 2017 |
| Wav2vec-C: A Self-supervised Model for Speech Representation Learning S Sadhu, D He, CW Huang, SH Mallidi, M Wu, A Rastrow, A Stolcke, ... arXiv preprint arXiv:2103.08393, 2021 | 61 | 2021 |
| Pronunciation and silence probability modeling for ASR G Chen, H Xu, M Wu, D Povey, S Khudanpur Sixteenth Annual Conference of the International Speech Communication …, 2015 | 54 | 2015 |
| Frequency domain multi-channel acoustic modeling for distant speech recognition W Minhua, K Kumatani, S Sundaram, N Ström, B Hoffmeister ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 52 | 2019 |
| Time-delayed bottleneck highway networks using a dft feature for keyword spotting J Guo, K Kumatani, M Sun, M Wu, A Raju, N Ström, A Mandal 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 47 | 2018 |
| Multi-geometry spatial acoustic modeling for distant speech recognition K Kumatani, W Minhua, S Sundaram, N Ström, B Hoffmeister ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 22 | 2019 |
| Deep multi-channel acoustic modeling A Mandal, K Kumatani, N Strom, M Wu, S Sundaram, B Hoffmeister, ... US Patent 10,726,830, 2020 | 18 | 2020 |
| Deep multi-channel acoustic modeling A Mandal, K Kumatani, N Strom, M Wu, S Sundaram, B Hoffmeister, ... US Patent App. 16/932,049, 2020 | 13 | 2020 |
| An empirical study of cross-lingual transfer learning techniques for small-footprint keyword spotting M Sun, A Schwarz, M Wu, N Strom, S Matsoukas, S Vitaladevuni 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 12 | 2017 |
| Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End SN Ray, M Wu, A Raju, P Ghahremani, R Bilgi, M Rao, H Arsikere, ... arXiv preprint arXiv:2105.07071, 2021 | 10 | 2021 |
| Robust Multi-Channel Speech Recognition Using Frequency Aligned Network T Park, K Kumatani, M Wu, S Sundaram ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Deep multi-channel acoustic modeling using multiple microphone array geometries K Kumatani, M Wu, S Sundaram, N Strom, B Hoffmeister US Patent 11,574,628, 2023 | 7 | 2023 |
| Monophone-based background modeling for wakeword detection M Wu, S Panchapagesan, M Sun, SNP Vitaladevuni, B Hoffmeister, ... US Patent 10,964,315, 2021 | 5 | 2021 |
| Speech processing optimizations based on microphone array SK Sundaram, M Wu, A Raju, S Matsoukas, A Mandal, K Kumatani US Patent 10,679,621, 2020 | 4 | 2020 |
| Deep multi-channel acoustic modeling using frequency aligned network M Wu, S Sundaram, TJ Park, K Kumatani US Patent 11,495,215, 2022 | 3 | 2022 |
| Multi-channel Acoustic Modeling using Mixed Bitrate OPUS Compression A Khare, S Sundaram, M Wu arXiv preprint arXiv:2002.00122, 2020 | 3 | 2020 |
| Fully Learnable Front-End for Multi-Channel Acoustic Modeling Using Semi-Supervised Learning S Wager, A Khare, M Wu, K Kumatani, S Sundaram ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
