A long, deep and wide artificial neural net for robust speech recognition in unknown noise. - Feipeng Li; Phani S. Nidadavolu; Hynek Hermansky (INTERSPEECH, 2014)

Autoencoder based multi-stream combination for noise robust speech recognition. - Sri Harish Reddy Mallidi; Tetsuji Ogawa; Karel Veselý; Phani S. Nidadavolu; Hynek Hermansky (INTERSPEECH, 2015)

On the impact of non-modal phonation on phonological features. - Milos Cernak; Elmar Nöth; Frank Rudzicz; Heidi Christensen; Juan Rafael Orozco-Arroyave; Raman Arora; Tobias Bocklet; Hamidreza Chinaei; Julius Hannink; Phani Sankar Nidadavolu; Juan Camilo Vásquez-Correa; Maria Yancheva; et al. (ICASSP, 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Raman Arora; Elmar Nöth; Najim Dehak; Heidi Christensen; Frank Rudzicz; Tobias Bocklet; Milos Cernak; Hamid R. Chinaei; Julius Hannink; Phani Sankar Nidadavolu; et al. (ICASSP, 2017)

The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. - Pedro A. Torres-Carrasquillo; Fred Richardson; Shahan C. Nercessian; Douglas E. Sturim; William M. Campbell; Youngjune Gwon; Swaroop Vattam; Najim Dehak; Sri Harish Reddy Mallidi; Phani Sankar Nidadavolu; Ruizhi Li; Réda Dehak (INTERSPEECH, 2017)

End-to-end Deep Neural Network Age Estimation. - Pegah Ghahremani; Phani Sankar Nidadavolu; Nanxin Chen; Jesús Villalba 001; Daniel Povey; Sanjeev Khudanpur; Najim Dehak (INTERSPEECH, 2018)

Investigation on Bandwidth Extension for Speaker Recognition. - Phani Sankar Nidadavolu; Cheng-I Lai; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2018)

Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks. - Rubén Zazo-Candil; Phani Sankar Nidadavolu; Nanxin Chen; Joaquin Gonzalez-Rodriguez; Najim Dehak (IEEE Access, 2018)

NeuroSpeech: An open-source software for Parkinson's speech analysis. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (Digit. Signal Process., 2018)

NeuroSpeech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (SoftwareX, 2018)

Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-Gans. - Phani Sankar Nidadavolu; Saurabh Kataria 001; Jesús Villalba 001; Najim Dehak (ASRU, 2019)

Investigation on Neural Bandwidth Extension of Telephone Speech for Improved Speaker Recognition. - Phani Sankar Nidadavolu; Vicente Iglesias; Jesús Villalba 001; Najim Dehak (ICASSP, 2019)

Cycle-GANs for Domain Adaptation of Acoustic Features for Speaker Recognition. - Phani Sankar Nidadavolu; Jesús Villalba 001; Najim Dehak (ICASSP, 2019)

The JHU ASR System for VOiCES from a Distance Challenge 2019. - Yiming Wang 006; David Snyder; Hainan Xu; Vimal Manohar; Phani Sankar Nidadavolu; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2019)

Feature Enhancement with Deep Feature Losses for Speaker Verification. - Saurabh Kataria 001; Phani Sankar Nidadavolu; Jesús Villalba 001; Nanxin Chen; L. Paola García-Perera; Najim Dehak (ICASSP, 2020)

Unsupervised Feature Enhancement for Speaker Verification. - Phani Sankar Nidadavolu; Saurabh Kataria 001; Jesús Villalba 001; L. Paola García-Perera; Najim Dehak (ICASSP, 2020)

Speaker Detection in the Wild: Lessons Learned from JSALT 2019. - Leibny Paola García-Perera; Jesús Villalba 001; Hervé Bredin; Jun Du 002; Diego Castán; Alejandrina Cristià; Latané Bullock; Ling Guo; Koji Okabe; Phani Sankar Nidadavolu; Saurabh Kataria 001; Sizhu Chen; et al. (Odyssey, 2020)

Analysis of Deep Feature Loss Based Enhancement for Speaker Verification. - Saurabh Kataria 001; Phani Sankar Nidadavolu; Jesús Villalba 001; Najim Dehak (Odyssey, 2020)

Advances in Speaker Recognition for Telephone and Audio-Visual Data: the JHU-MIT Submission for NIST SRE19. - Jesús Antonio Villalba López; Daniel Garcia-Romero; Nanxin Chen; Gregory Sell; Jonas Borgstrom; Alan McCree; Leibny Paola García-Perera; Saurabh Kataria 001; Phani Sankar Nidadavolu; Pedro Torres-Carrasquiilo; Najim Dehak (Odyssey, 2020)

Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild. - Phani Sankar Nidadavolu; Saurabh Kataria 001; L. Paola García-Perera; Jesús Villalba 001; Najim Dehak (CoRR, 2020)

RefTextLAS: Reference Text Biased Listen, Attend, and Spell Model For Accurate Reading Evaluation. - Phani Sankar Nidadavolu; Na Xu; Nick Jutila; Ravi Teja Gadde; Aswarth Abhilash Dara; Joseph Savold; Sapan Patel; Aaron Hoff; Veerdhawal Pande; Kevin Crews; Ankur Gandhe; Ariya Rastrow; et al. (INTERSPEECH, 2022)

Hot-Fixing Wake Word Recognition for End-to-End ASR Via Neural Model Reprogramming. - Pin-Jui Ku; I-Fan Chen; Chao-Han Huck Yang; Anirudh Raju; Pranav Dheram; Pegah Ghahremani; Brian King; Jing Liu; Roger Ren; Phani Sankar Nidadavolu (ICASSP, 2024)

Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. - Anirudh S. Sundar; Chao-Han Huck Yang; David M. Chan; Shalini Ghosh; Venkatesh Ravichandran; Phani Sankar Nidadavolu (ICASSP Workshops, 2024)