Basil Abraham

According to our database1, Basil Abraham authored at least 19 papers between 2014 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language.
CoRR, 2024

2021
Multilingual and code-switching ASR challenges for low resource Indian languages.
CoRR, 2021

2020
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition.
CoRR, 2020

Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition.
CoRR, 2020

Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS.
Proceedings of the Interspeech 2020, 2020

2019
End-to-End ASR for Code-switched Hindi-English Speech.
CoRR, 2019

Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition.
Proceedings of the Interspeech 2019, 2019

2018
Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition.
Proceedings of the Interspeech 2018, 2018

2017
An automated technique to generate phone-to-articulatory label mapping.
Speech Commun., 2017

On Improving Acoustic Models for TORGO Dysarthric Speech Database.
Proceedings of the Interspeech 2017, 2017

Generalized Distillation Framework for Speaker Normalization.
Proceedings of the Interspeech 2017, 2017

Joint Estimation of Articulatory Features and Acoustic Models for Low-Resource Languages.
Proceedings of the Interspeech 2017, 2017

Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages.
Proceedings of the Interspeech 2017, 2017

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

Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages.
Proceedings of the Interspeech 2016, 2016

Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition.
Proceedings of the Interspeech 2016, 2016

2014
A data-driven phoneme mapping technique using interpolation vectors of phone-cluster adaptive training.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Cross-lingual acoustic modeling for Indian languages based on Subspace Gaussian Mixture Models.
Proceedings of the Twentieth National Conference on Communications, 2014


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