Vimal Manohar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
5
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | 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, Mingbo Ma |
| 2024 | ICASSP | 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 |
| 2023 | ICASSP | Self-Supervised Representations for Singing Voice Conversion. | Tejas Jayashankar, Jilong Wu, Leda Sari, David Kant, Vimal Manohar, Qing He |
| 2023 | ICASSP | Voice-Preserving Zero-Shot Multiple Accent Conversion. | Mumin Jin, Prashant Serai, Jilong Wu, Andros Tjandra, Vimal Manohar, Qing He |
| 2021 | ASRU | 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 |
| 2021 | ASRU | 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 |
| 2020 | Interspeech | 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 |
| 2019 | ICASSP | Acoustic Modeling for Overlapping Speech Recognition: Jhu Chime-5 Challenge System. | Vimal Manohar, Szu-Jui Chen, Zhiqi Wang, Yusuke Fujita, Shinji Watanabe, Sanjeev Khudanpur |
| 2019 | ICASSP | Towards Automatic Methods to Detect Errors in Transcriptions of Speech Recordings. | Jinyi Yang, Lucas Ondel, Vimal Manohar, Hynek Hermansky |
| 2019 | ICDAR | Using ASR Methods for OCR. | Ashish Arora, Paola Garca, 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 |
| 2019 | Interspeech | 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 |
| 2018 | ICASSP | Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard Methods. | Matthew Maciejewski, David Snyder, Vimal Manohar, Najim Dehak, Sanjeev Khudanpur |
| 2018 | ICASSP | Semi-Supervised Training of Acoustic Models Using Lattice-Free MMI. | Vimal Manohar, Hossein Hadian, Daniel Povey, Sanjeev Khudanpur |
| 2018 | Interspeech | 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, Jess Villalba, Matthew Maciejewski, Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur |
| 2018 | Interspeech | 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 |
| 2017 | ASRU | Investigation of transfer learning for ASR using LF-MMI trained neural networks. | Pegah Ghahremani, Vimal Manohar, Hossein Hadian, Daniel Povey, Sanjeev Khudanpur |
| 2017 | ASRU | JHU Kaldi system for Arabic MGB-3 ASR challenge using diarization, audio-transcript alignment and transfer learning. | Vimal Manohar, Daniel Povey, Sanjeev Khudanpur |
| 2017 | Interspeech | An Exploration of Dropout with LSTMs. | Gaofeng Cheng, Vijayaditya Peddinti, Daniel Povey, Vimal Manohar, Sanjeev Khudanpur, Yonghong Yan |
| 2017 | Interspeech | 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 |
| 2017 | Interspeech | Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection Framework. | Xiaohui Zhang, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur |
| 2016 | ICASSP | 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 |
| 2016 | Interspeech | Acoustic Modelling from the Signal Domain Using CNNs. | Pegah Ghahremani, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur |
| 2016 | Interspeech | Far-Field ASR Without Parallel Data. | Vijayaditya Peddinti, Vimal Manohar, Yiming Wang, Daniel Povey, Sanjeev Khudanpur |
| 2016 | Interspeech | 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 |
| 2015 | ASRU | JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS. | Vijayaditya Peddinti, Guoguo Chen, Vimal Manohar, Tom Ko, Daniel Povey, Sanjeev Khudanpur |
| 2015 | Interspeech | Semi-supervised maximum mutual information training of deep neural network acoustic models. | Vimal Manohar, Daniel Povey, Sanjeev Khudanpur |
| 2013 | ASRU | Acoustic modeling using transform-based phone-cluster adaptive training. | Vimal Manohar, Srinivas C. Bhargav, Srinivasan Umesh |