Acoustic modeling using transform-based phone-cluster adaptive training. - Vimal Manohar; Srinivas C. Bhargav; Srinivasan Umesh (ASRU, 2013)

A keyword search system using open source software. - Jan Trmal; Guoguo Chen; Daniel Povey; Sanjeev Khudanpur; Pegah Ghahremani; Xiaohui Zhang 007; Vimal Manohar; Chunxi Liu; Aren Jansen; Dietrich Klakow; David Yarowsky; Florian Metze (SLT, 2014)

JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS. - Vijayaditya Peddinti; Guoguo Chen; Vimal Manohar; Tom Ko; Daniel Povey; Sanjeev Khudanpur (ASRU, 2015)

Semi-supervised maximum mutual information training of deep neural network acoustic models. - Vimal Manohar; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2015)

Adapting ASR for under-resourced languages using mismatched transcriptions. - Chunxi Liu; Preethi Jyothi; Hao Tang 002; Vimal Manohar; Rose Sloan; Tyler Kekona; Mark Hasegawa-Johnson; Sanjeev Khudanpur (ICASSP, 2016)

Acoustic Modelling from the Signal Domain Using CNNs. - Pegah Ghahremani; Vimal Manohar; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2016)

Far-Field ASR Without Parallel Data. - Vijayaditya Peddinti; Vimal Manohar; Yiming Wang 006; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2016)

Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI. - Daniel Povey; Vijayaditya Peddinti; Daniel Galvez; Pegah Ghahremani; Vimal Manohar; Xingyu Na; Yiming Wang 006; Sanjeev Khudanpur (INTERSPEECH, 2016)

Investigation of transfer learning for ASR using LF-MMI trained neural networks. - Pegah Ghahremani; Vimal Manohar; Hossein Hadian; Daniel Povey; Sanjeev Khudanpur (ASRU, 2017)

JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learning. - Vimal Manohar; Daniel Povey; Sanjeev Khudanpur (ASRU, 2017)

An Exploration of Dropout with LSTMs. - Gaofeng Cheng; Vijayaditya Peddinti; Daniel Povey; Vimal Manohar; Sanjeev Khudanpur; Yonghong Yan 002 (INTERSPEECH, 2017)

The Kaldi OpenKWS System: Improving Low Resource Keyword Search. - Jan Trmal; Matthew Wiesner; Vijayaditya Peddinti; Xiaohui Zhang 007; Pegah Ghahremani; Yiming Wang 006; Vimal Manohar; Hainan Xu; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2017)

Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection Framework. - Xiaohui Zhang 007; Vimal Manohar; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2017)

Using of heterogeneous corpora for training of an ASR system. - Jan Trmal; Gaurav Kumar; Vimal Manohar; Sanjeev Khudanpur; Matt Post; Paul McNamee (CoRR, 2017)

ASR for Under-Resourced Languages From Probabilistic Transcription. - Mark A. Hasegawa-Johnson; Preethi Jyothi; Daniel McCloy; Majid Mirbagheri; Giovanni M. Di Liberto; Amit Das 007; Bradley Ekin; Chunxi Liu; Vimal Manohar; Hao Tang 002; Edmund C. Lalor; Nancy F. Chen; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard Methods. - Matthew Maciejewski; David Snyder; Vimal Manohar; Najim Dehak; Sanjeev Khudanpur (ICASSP, 2018)

Semi-Supervised Training of Acoustic Models Using Lattice-Free MMI. - Vimal Manohar; Hossein Hadian; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2018)

Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge. - Gregory Sell; David Snyder; Alan McCree; Daniel Garcia-Romero; Jesús Villalba 001; Matthew Maciejewski; Vimal Manohar; Najim Dehak; Daniel Povey; Shinji Watanabe 001; Sanjeev Khudanpur (INTERSPEECH, 2018)

Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource Languages. - Matthew Wiesner; Chunxi Liu; Lucas Ondel; Craig Harman; Vimal Manohar; Jan Trmal; Zhongqiang Huang; Najim Dehak; Sanjeev Khudanpur (INTERSPEECH, 2018)

A Teacher-Student Learning Approach for Unsupervised Domain Adaptation of Sequence-Trained ASR Models. - Vimal Manohar; Pegah Ghahremani; Daniel Povey; Sanjeev Khudanpur (SLT, 2018)

The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection. - Matthew Wiesner; Chunxi Liu; Lucas Ondel; Craig Harman; Vimal Manohar; Jan Trmal; Zhongqiang Huang; Sanjeev Khudanpur; Najim Dehak (CoRR, 2018)

Acoustic Modeling for Overlapping Speech Recognition: Jhu Chime-5 Challenge System. - Vimal Manohar; Szu-Jui Chen; Zhiqi Wang; Yusuke Fujita; Shinji Watanabe 001; Sanjeev Khudanpur (ICASSP, 2019)

Towards Automatic Methods to Detect Errors in Transcriptions of Speech Recordings. - Jinyi Yang; Lucas Ondel; Vimal Manohar; Hynek Hermansky (ICASSP, 2019)

Using ASR Methods for OCR. - Ashish Arora; Paola García 001; Shinji Watanabe 001; Vimal Manohar; Yiwen Shao; Sanjeev Khudanpur; Chun-Chieh Chang; Babak Rekabdar; Bagher BabaAli; Daniel Povey; David Etter; Desh Raj; et al. (ICDAR, 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)

Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR. - Kritika Singh; Vimal Manohar; Alex Xiao; Sergey Edunov; Ross B. Girshick; Vitaliy Liptchinsky; Christian Fuegen; Yatharth Saraf; Geoffrey Zweig; Abdelrahman Mohamed (INTERSPEECH, 2020)

Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition. - Vimal Manohar; Tatiana Likhomanenko; Qiantong Xu; Wei-Ning Hsu; Ronan Collobert; Yatharth Saraf; Geoffrey Zweig; Abdelrahman Mohamed (ASRU, 2021)

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models. - Xiaohui Zhang 007; Vimal Manohar; David Zhang; Frank Zhang 001; Yangyang Shi; Nayan Singhal; Julian Chan; Fuchun Peng; Yatharth Saraf; Mike Seltzer (ASRU, 2021)

Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders. - Jason Fong; Yun Wang; Prabhav Agrawal; Vimal Manohar; Jilong Wu; Thilo Köhler; Qing He (CoRR, 2022)

Self-Supervised Representations for Singing Voice Conversion. - Tejas Jayashankar; Jilong Wu; Leda Sari; David Kant; Vimal Manohar; Qing He (ICASSP, 2023)

Voice-Preserving Zero-Shot Multiple Accent Conversion. - Mumin Jin; Prashant Serai; Jilong Wu; Andros Tjandra; Vimal Manohar; Qing He (ICASSP, 2023)

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. - Matthew Le 001; Apoorv Vyas; Bowen Shi; Brian Karrer; Leda Sari; Rashel Moritz; Mary Williamson; Vimal Manohar; Yossi Adi; Jay Mahadeokar; Wei-Ning Hsu (NeurIPS, 2023)

Less Peaky and More Accurate CTC Forced Alignment by Label Priors. - Ruizhe Huang; Xiaohui Zhang 007; Zhaoheng Ni; Li Sun 010; Moto Hira; Jeff Hwang; Vimal Manohar; Vineel Pratap; Matthew Wiesner; Shinji Watanabe 001; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2024)

Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement. - Xueyao Zhang; Xiaohui Zhang; Kainan Peng; Zhenyu Tang; Vimal Manohar; Yingru Liu; Jeff Hwang; Dangna Li; Yuhao Wang; Julian Chan; Yuan Huang; Zhizheng Wu 001; et al. (ICLR, 2025)

SemAlignVC: Enhancing zero-shot timbre conversion using semantic alignment. - Shivam Mehta; Yingru Liu; Zhenyu Tang; Kainan Peng; Vimal Manohar; Shun Zhang; Mike Seltzer; Qing He; Mingbo Ma (CoRR, 2025)