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Jesuraja Bandekar

2 accepted papers

2025

Improving Dialect Identification in Indian Languages Using Multimodal Features from Dialect Informed ASR

ICASSP 2025accepted

Dialect identification (DID) addresses the challenge of recog-nizing regional variations within a language. The current deep learning approaches focus on audio-only, text-only, or multi-task setups combining automatic speech recognition (ASR) with DID. This work introduces a novel multimodal archite…

Cited by 0SourceScholar
2023

Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech

ICASSP 2023accepted

The Lightweight, Multi-speaker, Multi-lingual Indic Text-to-Speech (LIMMITS’23) challenge is organized as part of the ICASSP 2023 signal processing grand challenge. LIMMITS’23 aims at the development of a lightweight, multi-speaker, multi-lingual Text to Speech (TTS) model using datasets in Marathi,…

Cited by 0SourceScholar