| NeuroSpeech: An open-source software for Parkinson's speech analysis JR Orozco-Arroyave, JC Vásquez-Correa, JF Vargas-Bonilla, R Arora, ... Digital Signal Processing 77, 207-221, 2018 | 139 | 2018 |
| Age estimation in short speech utterances based on LSTM recurrent neural networks R Zazo, PS Nidadavolu, N Chen, J Gonzalez-Rodriguez, N Dehak IEEE Access 6, 22524-22530, 2018 | 103 | 2018 |
| End-to-end Deep Neural Network Age Estimation. P Ghahremani, PS Nidadavolu, N Chen, J Villalba, D Povey, ... Interspeech 2018, 277-281, 2018 | 74 | 2018 |
| Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease JC Vasquez-Correa, JR Orozco-Arroyave, R Arora, E Nöth, N Dehak, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 41 | 2017 |
| Feature enhancement with deep feature losses for speaker verification S Kataria, PS Nidadavolu, J Villalba, N Chen, P Garcia-Perera, N Dehak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 39 | 2020 |
| Speaker detection in the wild: Lessons learned from JSALT 2019 P García, J Villalba, H Bredin, J Du, D Castan, A Cristia, L Bullock, L Guo, ... arXiv preprint arXiv:1912.00938, 2019 | 38 | 2019 |
| Cycle-gans for domain adaptation of acoustic features for speaker recognition PS Nidadavolu, J Villalba, N Dehak ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 36 | 2019 |
| Low-resource domain adaptation for speaker recognition using cycle-gans PS Nidadavolu, S Kataria, J Villalba, N Dehak 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 34 | 2019 |
| Investigation on neural bandwidth extension of telephone speech for improved speaker recognition PS Nidadavolu, V Iglesias, J Villalba, N Dehak ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 30 | 2019 |
| Autoencoder based multi-stream combination for noise robust speech recognition. SHR Mallidi, T Ogawa, K Veselý, PS Nidadavolu, H Hermansky Interspeech, 3551-3555, 2015 | 28 | 2015 |
| Unsupervised feature enhancement for speaker verification PS Nidadavolu, S Kataria, J Villalba, P Garcia-Perera, N Dehak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 25 | 2020 |
| Investigation on Bandwidth Extension for Speaker Recognition. PS Nidadavolu, CI Lai, J Villalba, N Dehak INTERSPEECH, 1111-1115, 2018 | 25 | 2018 |
| Advances in speaker recognition for telephone and audio-visual data: the jhu-mit submission for nist sre19 J Villalba, D Garcia-Romero, N Chen, G Sell, J Borgstrom, A McCree, ... Proceedings of Odyssey, 273-280, 2020 | 21 | 2020 |
| A long, deep and wide artificial neural net for robust speech recognition in unknown noise. F Li, PS Nidadavolu, H Hermansky Interspeech, 358-362, 2014 | 21 | 2014 |
| The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. PA Torres-Carrasquillo, F Richardson, SC Nercessian, DE Sturim, ... Interspeech, 1333-1337, 2017 | 19 | 2017 |
| Analysis of deep feature loss based enhancement for speaker verification S Kataria, PS Nidadavolu, J Villalba, N Dehak arXiv preprint arXiv:2002.00139, 2020 | 17 | 2020 |
| The JHU ASR System for VOiCES from a Distance Challenge 2019. Y Wang, D Snyder, H Xu, V Manohar, PS Nidadavolu, D Povey, ... INTERSPEECH, 2488-2492, 2019 | 10 | 2019 |
| Single channel far field feature enhancement for speaker verification in the wild PS Nidadavolu, S Kataria, P García-Perera, J Villalba, N Dehak arXiv preprint arXiv:2005.08331, 2020 | 5 | 2020 |
| Multimodal attention merging for improved speech recognition and audio event classification AS Sundar, CHH Yang, DM Chan, S Ghosh, V Ravichandran, ... 2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024 | 4 | 2024 |
| On the impact of non-modal phonation on phonological features M Cernak, E Nöth, F Rudzicz, H Christensen, JR Orozco-Arroyave, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 3 | 2017 |
Najim DehakAssociate Professor at ECE department, Johns Hopkins University.Vahvistettu sähköpostiosoite verkkotunnuksessa jhu.edu
