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ORCIDBasil Abraham
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2020 – today
- 2024
[i6]Yash Sharma, Basil Abraham, Preethi Jyothi:
Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language. CoRR abs/2403.08011 (2024)- 2021
- [i5]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. CoRR abs/2104.00235 (2021) - 2020
- [c14]Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi:
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS. INTERSPEECH 2020: 4771-4775 - [c13]Basil Abraham, Danish Goel, Divya Siddarth, Kalika Bali, Manu Chopra, Monojit Choudhury, Pratik Joshi, Preethi Jyothi, Sunayana Sitaram, Vivek Seshadri:
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers. LREC 2020: 2819-2826 - [i4]Sanket Shah, Basil Abraham, Gurunath Reddy M, Sunayana Sitaram, Vikas Joshi:
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition. CoRR abs/2006.00782 (2020) - [i3]Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham, Vikas Joshi, Sunayana Sitaram:
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition. CoRR abs/2006.05257 (2020) - [i2]Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi:
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS. CoRR abs/2010.05549 (2020)
2010 – 2019
- 2019
- [c12]Karan Taneja, Satarupa Guha, Preethi Jyothi, Basil Abraham:
Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition. INTERSPEECH 2019: 2150-2154 - [i1]Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram, Rupesh K. Mehta, Preethi Jyothi:
End-to-End ASR for Code-switched Hindi-English Speech. CoRR abs/1906.09426 (2019) - 2018
- [c11]Vishwas M. Shetty, Rini A. Sharon, Basil Abraham, Tejaswi Seeram, Anusha Prakash, Nithya Ravi, Srinivasan Umesh:
Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition. INTERSPEECH 2018: 3202-3206 - 2017
- [j1]Basil Abraham, Srinivasan Umesh
:
An automated technique to generate phone-to-articulatory label mapping. Speech Commun. 86: 107-120 (2017) - [c10]Neethu Mariam Joy, Sandeep Reddy Kothinti, Srinivasan Umesh, Basil Abraham:
Generalized Distillation Framework for Speaker Normalization. INTERSPEECH 2017: 739-743 - [c9]Basil Abraham, Srinivasan Umesh, Neethu Mariam Joy:
Joint Estimation of Articulatory Features and Acoustic Models for Low-Resource Languages. INTERSPEECH 2017: 2153-2157 - [c8]Basil Abraham, Tejaswi Seeram, Srinivasan Umesh:
Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages. INTERSPEECH 2017: 2158-2162 - [c7]Neethu Mariam Joy, Srinivasan Umesh, Basil Abraham:
On Improving Acoustic Models for TORGO Dysarthric Speech Database. INTERSPEECH 2017: 2695-2699 - 2016
- [c6]Basil Abraham, Srinivasan Umesh, Neethu Mariam Joy:
Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition. INTERSPEECH 2016: 798-802 - [c5]Basil Abraham, Srinivasan Umesh, Neethu Mariam Joy:
Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages. INTERSPEECH 2016: 3037-3041 - [c4]Neethu Mariam Joy, Murali Karthick Baskar, Srinivasan Umesh, Basil Abraham:
DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data. INTERSPEECH 2016: 3479-3483 - [c3]Neethu Mariam Joy, Srinivasan Umesh, Basil Abraham, K. Navneeth:
Improved phone-cluster adaptive training acoustic model. SPCOM 2016: 1-5 - 2014
- [c2]Neethu Mariam Joy, Basil Abraham, K. Navneeth, Srinivasan Umesh:
Cross-lingual acoustic modeling for Indian languages based on Subspace Gaussian Mixture Models. NCC 2014: 1-5 - [c1]Basil Abraham, Neethu Mariam Joy, Navneeth K. S. Umesh:
A data-driven phoneme mapping technique using interpolation vectors of phone-cluster adaptive training. SLT 2014: 36-41
Coauthor Index
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