78 citations · 100 across the 6 of their papers we have counts for
6 papers
Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language
Yash Sharma, Basil Abraham, Preethi Jyothi
An important and difficult task in code-switched speech recognition is to recognize the language, as lots of words in two languages can sound similar, especially in some accents. W…
Multilingual and code-switching ASR challenges for low resource Indian languages
Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah +19
Recently, there is increasing interest in multilingual automatic speech recognition (ASR) where a speech recognition system caters to multiple low resource languages by taking adva…
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS
Yash Sharma, Basil Abraham, Karan Taneja +1
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…
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition
Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham +2
Recognizing code-switched speech is challenging for Automatic Speech Recognition (ASR) for a variety of reasons, including the lack of code-switched training data. Recently, we sho…
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition
Sanket Shah, Basil Abraham, Gurunath Reddy M +2
Recently, there has been significant progress made in Automatic Speech Recognition (ASR) of code-switched speech, leading to gains in accuracy on code-switched datasets in many lan…
End-to-End ASR for Code-switched Hindi-English Speech
Brij Mohan Lal Srivastava, Basil Abraham, Sunayana Sitaram +2
End-to-end (E2E) models have been explored for large speech corpora and have been found to match or outperform traditional pipeline-based systems in some languages. However, most p…