1 citations · 2 across the 8 of their papers we have counts for
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Multi-Convformer: Extending Conformer with Multiple Convolution Kernels
Darshan Prabhu, Yifan Peng, Preethi Jyothi +1
Convolutions have become essential in state-of-the-art end-to-end Automatic Speech Recognition~(ASR) systems due to their efficient modelling of local context. Notably, its use in…
LoFTI: Localization and Factuality Transfer to Indian Locales
Sona Elza Simon, Soumen Kumar Mondal, Abhishek Singhania +2
Large language models (LLMs) encode vast amounts of world knowledge acquired via training on large web-scale datasets crawled from the internet. However, these datasets typically e…
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection
Barah Fazili, Ashish Sunil Agrawal, Preethi Jyothi
Large language models (LLMs) are very proficient text generators. We leverage this capability of LLMs to generate task-specific data via zero-shot prompting and promote cross-lingu…
Improving Self-supervised Pre-training using Accent-Specific Codebooks
Darshan Prabhu, Abhishek Gupta, Omkar Nitsure +2
Speech accents present a serious challenge to the performance of state-of-the-art end-to-end Automatic Speech Recognition (ASR) systems. Even with self-supervised learning and pre-…
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving
Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya
Code-switching is a widely prevalent linguistic phenomenon in multilingual societies like India. Building speech-to-text models for code-switched speech is challenging due to limit…
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…