Murali Karthick Baskar

Orcid: 0000-0002-9396-6319

According to our database1, Murali Karthick Baskar authored at least 32 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
O-1: Self-training with Oracle and 1-best Hypothesis.
CoRR, 2023

Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss.
Proceedings of the IEEE International Conference on Acoustics, 2023

Mask-Conformer: Augmenting Conformer with Mask-Predict Decoder.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Ask2Mask: Guided Data Selection for Masked Speech Modeling.
IEEE J. Sel. Top. Signal Process., 2022

Reducing Domain mismatch in Self-supervised speech pre-training.
Proceedings of the Interspeech 2022, 2022

Speaker adaptation for Wav2vec2 based dysarthric ASR.
Proceedings of the Interspeech 2022, 2022

2021
Eat: Enhanced ASR-TTS for Self-Supervised Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
BUT Opensat 2019 Speech Recognition System.
CoRR, 2020

2019
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text.
CoRR, 2019

Speech Enhancement Using End-to-End Speech Recognition Objectives.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems.
Proceedings of the Interspeech 2019, 2019

Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text.
Proceedings of the Interspeech 2019, 2019

Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2019

Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Promising Accurate Prefix Boosting for Sequence-to-sequence ASR.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies.
CoRR, 2018

Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

BUT System for Low Resource Indian Language ASR.
Proceedings of the Interspeech 2018, 2018

BUT OpenSAT 2017 Speech Recognition System.
Proceedings of the Interspeech 2018, 2018

Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
DNNs for unsupervised extraction of pseudo speaker-normalized features without explicit adaptation data.
Speech Commun., 2017


2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation.
Proceedings of the Interspeech 2017, 2017

Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks.
Proceedings of the Interspeech 2017, 2017

Residual memory networks: Feed-forward approach to learn long-term temporal dependencies.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

MGB-3 but system: Low-resource ASR on Egyptian YouTube data.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Multilingual BLSTM and speaker-specific vector adaptation in 2016 but babel system.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data.
Proceedings of the Interspeech 2016, 2016

2015
Investigation of different acoustic modeling techniques for low resource Indian language data.
Proceedings of the Twenty First National Conference on Communications, 2015

Speaker adaptation of convolutional neural network using speaker specific subspace vectors of SGMM.
Proceedings of the INTERSPEECH 2015, 2015

2014
Improving deep neural networks using state projection vectors of subspace Gaussian mixture model as features.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Experiments on front-end techniques and segmentation model for robust Indian Language speech recognizer.
Proceedings of the Twentieth National Conference on Communications, 2014


  Loading...