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ORCIDShakti P. Rath
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2020 – today
- 2022
[i3]Shashi Kumar, Shakti P. Rath, Abhishek Pandey:
Improved far-field speech recognition using Joint Variational Autoencoder. CoRR abs/2204.11286 (2022)- 2021
- [c15]Madhu R. Kamble, Shekhar Nayak, M. Ali Basha Shaik, Shakti P. Rath, Vikram Vij, Hemant A. Patil:
Teager Energy Subband Filtered Features for Near and Far-Field Automatic Speech Recognition. APSIPA ASC 2021: 491-496 - [c14]Shashi Kumar, Shakti P. Rath, Abhishek Pandey:
Speaker Normalization Using Joint Variational Autoencoder. Interspeech 2021: 1289-1293 - [c13]Vikas Agrawal, Shashi Kumar, Shakti P. Rath:
Whisper Speech Enhancement Using Joint Variational Autoencoder for Improved Speech Recognition. Interspeech 2021: 2706-2710 - [i2]Vishwanath Pratap Singh, Shakti P. Rath, Abhishek Pandey:
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR. CoRR abs/2112.01023 (2021) - [i1]Vishwanath Pratap Singh, Shakti P. Rath, Abhishek Pandey:
A Mixture of Expert Based Deep Neural Network for Improved ASR. CoRR abs/2112.01025 (2021)
2010 – 2019
- 2019
- [c12]Mahesh K. Chelimilla, Shashi Kumar, Shakti P. Rath:
Joint Distribution Learning in the Framework of Variational Autoencoders for Far-Field Speech Enhancement. ASRU 2019: 245-251 - [c11]Shashi Kumar, Shakti P. Rath:
Far-Field Speech Enhancement Using Heteroscedastic Autoencoder for Improved Speech Recognition. INTERSPEECH 2019: 446-450 - [c10]Abhinav Jain, Vishwanath P. Singh, Shakti P. Rath:
A Multi-Accent Acoustic Model Using Mixture of Experts for Speech Recognition. INTERSPEECH 2019: 779-783 - 2018
- [j3]Shakti P. Rath:
A computationally efficient approach for acoustic class specific VTLN using regression tree. Int. J. Speech Technol. 21(3): 641-647 (2018) - [c9]Ankit Raj, Shakti P. Rath, Jithendra Vepa:
Leveraging Second-Order Log-Linear Model for Improved Deep Learning Based ASR Performance. INTERSPEECH 2018: 3738-3742 - 2017
- [j2]Shakti P. Rath:
Scalable algorithms for unsupervised clustering of acoustic data for speech recognition. Comput. Speech Lang. 46: 233-248 (2017) - [j1]Shakti P. Rath:
Factored front-end CMLLR for joint speaker and environment normalization under DNN-HMM. Int. J. Speech Technol. 20(4): 859-867 (2017) - 2014
- [c8]Kate M. Knill, Mark J. F. Gales, Anton Ragni, Shakti P. Rath:
Language independent and unsupervised acoustic models for speech recognition and keyword spotting. INTERSPEECH 2014: 16-20 - [c7]Anton Ragni, Kate M. Knill, Shakti P. Rath, Mark J. F. Gales:
Data augmentation for low resource languages. INTERSPEECH 2014: 810-814 - [c6]Shakti P. Rath, Kate M. Knill, Anton Ragni, Mark J. F. Gales:
Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages. INTERSPEECH 2014: 835-839 - [c5]Mark J. F. Gales, Kate M. Knill, Anton Ragni, Shakti P. Rath:
Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED. SLTU 2014: 16-23 - 2013
- [c4]Kate M. Knill, Mark J. F. Gales, Shakti P. Rath, Philip C. Woodland, Chao Zhang, Shi-Xiong Zhang:
Investigation of multilingual deep neural networks for spoken term detection. ASRU 2013: 138-143 - [c3]Shakti P. Rath, Daniel Povey, Karel Veselý, Jan Cernocký:
Improved feature processing for deep neural networks. INTERSPEECH 2013: 109-113 - [c2]Shakti P. Rath, Lukás Burget, Martin Karafiát, Ondrej Glembek, Jan Cernocký:
A region-specific feature-space transformation for speaker adaptation and singularity analysis of jacobian matrix. INTERSPEECH 2013: 1228-1232 - 2012
- [c1]Shakti P. Rath, Martin Karafiát, Ondrej Glembek, Jan Cernocký:
A factorized representation of FMLLR transform based on QR-decomposition. INTERSPEECH 2012: 551-554
Coauthor Index
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