default search action
Murali Karthick Baskar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i15]Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Neeraj Gaur, Zhong Meng:
Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions. CoRR abs/2406.14701 (2024) - [i14]Bolaji Yusuf, Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran:
Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models. CoRR abs/2407.04641 (2024) - 2023
- [c27]Yosuke Higuchi, Andrew Rosenberg, Yuan Wang, Murali Karthick Baskar, Bhuvana Ramabhadran:
Mask-Conformer: Augmenting Conformer with Mask-Predict Decoder. ASRU 2023: 1-8 - [c26]Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran:
Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss. ICASSP 2023: 1-5 - [c25]Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Kartik Audhkhasi:
O-1: Self-training with Oracle and 1-best Hypothesis. INTERSPEECH 2023: 77-81 - [i13]Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran:
Robust Knowledge Distillation from RNN-T Models With Noisy Training Labels Using Full-Sum Loss. CoRR abs/2303.05958 (2023) - [i12]Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Kartik Audhkhasi:
O-1: Self-training with Oracle and 1-best Hypothesis. CoRR abs/2308.07486 (2023) - 2022
- [j2]Murali Karthick Baskar
, Andrew Rosenberg, Bhuvana Ramabhadran
Ask2Mask: Guided Data Selection for Masked Speech Modeling. IEEE J. Sel. Top. Signal Process. 16(6): 1357-1366 (2022) - [c24]Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang, Nicolás Serrano:
Reducing Domain mismatch in Self-supervised speech pre-training. INTERSPEECH 2022: 3028-3032 - [c23]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. INTERSPEECH 2022: 3403-3407 - [i11]Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang, Pedro J. Moreno:
Ask2Mask: Guided Data Selection for Masked Speech Modeling. CoRR abs/2202.12719 (2022) - [i10]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Honza Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. CoRR abs/2204.00770 (2022) - 2021
- [c22]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe
Eat: Enhanced ASR-TTS for Self-Supervised Speech Recognition. ICASSP 2021: 6753-6757 - [i9]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Ramón Fernandez Astudillo, Jan Honza Cernocký:
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition. CoRR abs/2104.07474 (2021) - 2020
- [i8]Martin Karafiát, Murali Karthick Baskar, Igor Szöke, Hari Krishna Vydana, Karel Veselý, Jan Honza Cernocký:
BUT Opensat 2019 Speech Recognition System. CoRR abs/2001.11360 (2020)
2010 – 2019
- 2019
- [c21]Murali Karthick Baskar, Lukás Burget
Promising Accurate Prefix Boosting for Sequence-to-sequence ASR. ICASSP 2019: 5646-5650 - [c20]Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar, Tatsuya Kawahara
Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion. ICASSP 2019: 6096-6100 - [c19]Jaejin Cho, Shinji Watanabe
Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition. ICASSP 2019: 6191-6195 - [c18]Martin Karafiát
Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems. INTERSPEECH 2019: 2220-2224 - [c17]Murali Karthick Baskar, Shinji Watanabe
Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text. INTERSPEECH 2019: 3790-3794 - [c16]Aswin Shanmugam Subramanian
Speech Enhancement Using End-to-End Speech Recognition Objectives. WASPAA 2019: 234-238 - [i7]Murali Karthick Baskar, Shinji Watanabe, Ramón Fernandez Astudillo, Takaaki Hori, Lukás Burget, Jan Cernocký:
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text. CoRR abs/1905.01152 (2019) - 2018
- [c15]Martin Karafiát, Murali Karthick Baskar, Karel Veselý, Frantisek Grézl, Lukás Burget
Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages. ICASSP 2018: 5789-5793 - [c14]Martin Karafiát
BUT OpenSAT 2017 Speech Recognition System. INTERSPEECH 2018: 2638-2642 - [c13]Bhargav Pulugundla, Murali Karthick Baskar, Santosh Kesiraju
BUT System for Low Resource Indian Language ASR. INTERSPEECH 2018: 3182-3186 - [c12]Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Mallidi, Nelson Yalta
Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling. SLT 2018: 521-527 - [i6]Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Honza Cernocký:
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies. CoRR abs/1808.01916 (2018) - [i5]Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Reddy Mallidi, Nelson Yalta, Martin Karafiát, Shinji Watanabe, Takaaki Hori:
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling. CoRR abs/1810.03459 (2018) - [i4]Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar, Tatsuya Kawahara, Shinji Watanabe:
Transfer learning of language-independent end-to-end ASR with language model fusion. CoRR abs/1811.02134 (2018) - [i3]Jaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jesús Villalba, Najim Dehak:
Language model integration based on memory control for sequence to sequence speech recognition. CoRR abs/1811.02162 (2018) - [i2]Murali Karthick Baskar, Lukás Burget, Shinji Watanabe, Martin Karafiát, Takaaki Hori, Jan Honza Cernocký:
Promising Accurate Prefix Boosting for sequence-to-sequence ASR. CoRR abs/1811.02770 (2018) - [i1]Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe, Takaaki Hori, Matthew Wiesner, Jan Honza Cernocký:
Analysis of Multilingual Sequence-to-Sequence speech recognition systems. CoRR abs/1811.03451 (2018) - 2017
- [j1]Neethu Mariam Joy, Murali Karthick Baskar, Srinivasan Umesh
DNNs for unsupervised extraction of pseudo speaker-normalized features without explicit adaptation data. Speech Commun. 92: 64-76 (2017) - [c11]Karel Veselý, Murali Karthick Baskar, Mireia Díez
MGB-3 but system: Low-resource ASR on Egyptian YouTube data. ASRU 2017: 368-373 - [c10]Murali Karthick Baskar, Martin Karafiát
Residual memory networks: Feed-forward approach to learn long-term temporal dependencies. ICASSP 2017: 4810-4814 - [c9]Karel Benes
Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks. INTERSPEECH 2017: 284-288 - [c8]Martin Karafiát
2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation. INTERSPEECH 2017: 719-723 - [c7]Pavlos Papadopoulos, Ruchir Travadi, Colin Vaz, Nikolaos Malandrakis, Ulf Hermjakob, Nima Pourdamghani, Michael Pust, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Ondrej Glembek, Murali Karthick Baskar, Martin Karafiát
Team ELISA System for DARPA LORELEI Speech Evaluation 2016. INTERSPEECH 2017: 2053-2057 - 2016
- [c6]Neethu Mariam Joy, Murali Karthick Baskar, Srinivasan Umesh
DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data. INTERSPEECH 2016: 3479-3483 - [c5]Martin Karafiát
Multilingual BLSTM and speaker-specific vector adaptation in 2016 but babel system. SLT 2016: 637-643 - 2015
- [c4]Murali Karthick B, Prateek Kolhar, Srinivasan Umesh:
Speaker adaptation of convolutional neural network using speaker specific subspace vectors of SGMM. INTERSPEECH 2015: 1096-1100 - [c3]R. Sriranjani, Murali Karthick B, Srinivasan Umesh
Investigation of different acoustic modeling techniques for low resource Indian language data. NCC 2015: 1-5 - 2014
- [c2]R. Sriranjani, Murali Karthick Baskar, Srinivasan Umesh
Experiments on front-end techniques and segmentation model for robust Indian Language speech recognizer. NCC 2014: 1-6 - [c1]Murali Karthick B, Srinivasan Umesh
Improving deep neural networks using state projection vectors of subspace Gaussian mixture model as features. SLT 2014: 129-134
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-25 20:09 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: