6 citations · 8 across the 16 of their papers we have counts for
5 papers · 1 filter
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights
Devaraja Adiga, Rishabh Kumar, Amrith Krishna +3
Automatic speech recognition (ASR) in Sanskrit is interesting, owing to the various linguistic peculiarities present in the language. The Sanskrit language is lexically productive,…
An Investigation of End-to-End Models for Robust Speech Recognition
Archiki Prasad, Preethi Jyothi, Rajbabu Velmurugan
End-to-end models for robust automatic speech recognition (ASR) have not been sufficiently well-explored in prior work. With end-to-end models, one could choose to preprocess the i…
Reduce and Reconstruct: ASR for Low-Resource Phonetic Languages
Anuj Diwan, Preethi Jyothi
This work presents a seemingly simple but effective technique to improve low-resource ASR systems for phonetic languages. By identifying sets of acoustically similar graphemes in t…
Black-box Adaptation of ASR for Accented Speech
Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi +1
We introduce the problem of adapting a black-box, cloud-based ASR system to speech from a target accent. While leading online ASR services obtain impressive performance on main-str…
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…