Shakti P. Rath

According to our database1, Shakti P. Rath authored at least 21 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Improved far-field speech recognition using Joint Variational Autoencoder.
CoRR, 2022

2021
A Mixture of Expert Based Deep Neural Network for Improved ASR.
CoRR, 2021

A higher order Minkowski loss for improved prediction ability of acoustic model in ASR.
CoRR, 2021

Speaker Normalization Using Joint Variational Autoencoder.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Whisper Speech Enhancement Using Joint Variational Autoencoder for Improved Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Teager Energy Subband Filtered Features for Near and Far-Field Automatic Speech Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2019
Far-Field Speech Enhancement Using Heteroscedastic Autoencoder for Improved Speech Recognition.
Proceedings of the Interspeech 2019, 2019

A Multi-Accent Acoustic Model Using Mixture of Experts for Speech Recognition.
Proceedings of the Interspeech 2019, 2019

Joint Distribution Learning in the Framework of Variational Autoencoders for Far-Field Speech Enhancement.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
A computationally efficient approach for acoustic class specific VTLN using regression tree.
Int. J. Speech Technol., 2018

Leveraging Second-Order Log-Linear Model for Improved Deep Learning Based ASR Performance.
Proceedings of the Interspeech 2018, 2018

2017
Factored front-end CMLLR for joint speaker and environment normalization under DNN-HMM.
Int. J. Speech Technol., 2017

Scalable algorithms for unsupervised clustering of acoustic data for speech recognition.
Comput. Speech Lang., 2017

2014
Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED.
Proceedings of the 4th Workshop on Spoken Language Technologies for Under-resourced Languages, 2014

Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages.
Proceedings of the INTERSPEECH 2014, 2014

Data augmentation for low resource languages.
Proceedings of the INTERSPEECH 2014, 2014

Language independent and unsupervised acoustic models for speech recognition and keyword spotting.
Proceedings of the INTERSPEECH 2014, 2014

2013
Improved feature processing for deep neural networks.
Proceedings of the INTERSPEECH 2013, 2013

A region-specific feature-space transformation for speaker adaptation and singularity analysis of jacobian matrix.
Proceedings of the INTERSPEECH 2013, 2013

Investigation of multilingual deep neural networks for spoken term detection.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
A factorized representation of FMLLR transform based on QR-decomposition.
Proceedings of the INTERSPEECH 2012, 2012


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