Vimal Manohar

According to our database, Vimal Manohar authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Less Peaky and More Accurate CTC Forced Alignment by Label Priors.

Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.

Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Voice-Preserving Zero-Shot Multiple Accent Conversion.

Mumin Jin, Prashant Serai, Jilong Wu, Andros Tjandra, Vimal Manohar, Qing He

Proceedings of the IEEE International Conference on Acoustics, 2023

Self-Supervised Representations for Singing Voice Conversion.

Tejas Jayashankar, Jilong Wu, Leda Sari, David Kant, Vimal Manohar, Qing He

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

2021

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models.

Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

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

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

The JHU ASR System for VOiCES from a Distance Challenge 2019.

Yiming Wang, David Snyder, Hainan Xu, Vimal Manohar, Phani Sankar Nidadavolu, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Using ASR Methods for OCR.

Ashish Arora, Paola García, Shinji Watanabe, Vimal Manohar, Yiwen Shao, Sanjeev Khudanpur, Chun-Chieh Chang, Babak Rekabdar, Bagher BabaAli, Daniel Povey, David Etter, Desh Raj, Hossein Hadian, Jan Trmal

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Towards Automatic Methods to Detect Errors in Transcriptions of Speech Recordings.

Jinyi Yang, Lucas Ondel, Vimal Manohar, Hynek Hermansky

Proceedings of the IEEE International Conference on Acoustics, 2019

Acoustic Modeling for Overlapping Speech Recognition: Jhu Chime-5 Challenge System.

Vimal Manohar, Szu-Jui Chen, Zhiqi Wang, Yusuke Fujita, Shinji Watanabe, Sanjeev Khudanpur

Proceedings of the IEEE International Conference on Acoustics, 2019

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

A Teacher-Student Learning Approach for Unsupervised Domain Adaptation of Sequence-Trained ASR Models.

Vimal Manohar, Pegah Ghahremani, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 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

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 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, Matthew Maciejewski, Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Semi-Supervised Training of Acoustic Models Using Lattice-Free MMI.

Vimal Manohar, Hossein Hadian, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard Methods.

Matthew Maciejewski, David Snyder, Vimal Manohar, Najim Dehak, Sanjeev Khudanpur

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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, Bradley Ekin, Chunxi Liu, Vimal Manohar, Hao Tang, Edmund C. Lalor, Nancy F. Chen, Paul Hager, Tyler Kekona, Rose Sloan, Adrian K. C. Lee

IEEE ACM Trans. Audio Speech Lang. Process., 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

Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection Framework.

Xiaohui Zhang, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

The Kaldi OpenKWS System: Improving Low Resource Keyword Search.

Jan Trmal, Matthew Wiesner, Vijayaditya Peddinti, Xiaohui Zhang, Pegah Ghahremani, Yiming Wang, Vimal Manohar, Hainan Xu, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An Exploration of Dropout with LSTMs.

Gaofeng Cheng, Vijayaditya Peddinti, Daniel Povey, Vimal Manohar, Sanjeev Khudanpur, Yonghong Yan

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learning.

Vimal Manohar, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Investigation of transfer learning for ASR using LF-MMI trained neural networks.

Pegah Ghahremani, Vimal Manohar, Hossein Hadian, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

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, Sanjeev Khudanpur

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Far-Field ASR Without Parallel Data.

Vijayaditya Peddinti, Vimal Manohar, Yiming Wang, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Acoustic Modelling from the Signal Domain Using CNNs.

Pegah Ghahremani, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Adapting ASR for under-resourced languages using mismatched transcriptions.

Chunxi Liu, Preethi Jyothi, Hao Tang, Vimal Manohar, Rose Sloan, Tyler Kekona, Mark Hasegawa-Johnson, Sanjeev Khudanpur

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Semi-supervised maximum mutual information training of deep neural network acoustic models.

Vimal Manohar, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS.

Vijayaditya Peddinti, Guoguo Chen, Vimal Manohar, Tom Ko, Daniel Povey, Sanjeev Khudanpur

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014

A keyword search system using open source software.

Jan Trmal, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur, Pegah Ghahremani, Xiaohui Zhang, Vimal Manohar, Chunxi Liu, Aren Jansen, Dietrich Klakow, David Yarowsky, Florian Metze

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

2013

Acoustic modeling using transform-based phone-cluster adaptive training.

Vimal Manohar, Srinivas C. Bhargav, Srinivasan Umesh

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013