Muralikrishna H — accepted AI-conference papers

2025

Hierarchical Loss for Bi-Level Classification of Speech into Language and Dialects

Ananya Angra, Muralikrishna H, Dileep Aroor Dinesh, Veena Thenkanidiyoor

ICASSP 2025accepted

Spoken dialect identification (DID) is a challenging task due to high similarities between the classes. This becomes further complicated when DID needs to be performed in a multi-lingual environment, especially when languages are from same language-family, as the scope for confusion is significantly…

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2021

Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss

Muralikrishna H, Shantanu Kapoor, Dileep Aroor Dinesh, Padmanabhan Rajan

ICASSP 2021accepted

State-of-the-art spoken language identification (LID) networks are vulnerable to channel-mismatch that occurs due to the differences in the channels used to obtain the training and testing samples. The effect of channel-mismatch is severe when the training dataset contains very limited channel diver…

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