Search Results for author: Basil Abraham

Found 6 papers, 1 papers with code

Improving Low Resource Code-switched ASR using Augmented Code-switched TTS

no code implementations12 Oct 2020 Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi

Building Automatic Speech Recognition (ASR) systems for code-switched speech has recently gained renewed attention due to the widespread use of speech technologies in multilingual communities worldwide.

Automatic Speech Recognition Data Augmentation +1

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

no code implementations9 Jun 2020 Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham, Vikas Joshi, Sunayana Sitaram

Recently, we showed that monolingual ASR systems fine-tuned on code-switched data deteriorate in performance on monolingual speech recognition, which is not desirable as ASR systems deployed in multilingual scenarios should recognize both monolingual and code-switched speech with high accuracy.

Automatic Speech Recognition speech-recognition

End-to-End ASR for Code-switched Hindi-English Speech

no code implementations22 Jun 2019 Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram, Rupesh Mehta, Preethi Jyothi

While the lack of data adversely affects the performance of end-to-end models, we see promising improvements with MTL and balancing the corpus.

Multi-Task Learning

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