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We introduce VANI, a very lightweight multi-lingual accent controllablespeech synthesis system. Our model builds upon disentanglement strategiesproposed in RADMMM and supports explicit control of accent, language, speakerand fine-grained $F_0$ and energy features for speech synthesis. We utilize theIndic languages dataset, released for LIMMITS 2023 as part of ICASSP SignalProcessing Grand Challenge, to synthesize speech in 3 different languages. Ourmodel supports transferring the language of a speaker while retaining theirvoice and the native accent of the target language. We utilize thelarge-parameter RADMMM model for Track $1$ and lightweight VANI model for Track$2$ and $3$ of the competition.

VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation