DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation

no code implementations • 10 Oct 2021 • Suraj Kothawade, Anmol Mekala, Chandra Sekhara D, Mayank Kothyari, Rishabh Iyer, Ganesh Ramakrishnan, Preethi Jyothi

To address this problem, we propose DITTO (Data-efficient and faIr Targeted subseT selectiOn) that uses Submodular Mutual Information (SMI) functions as acquisition functions to find the most informative set of utterances matching a target accent within a fixed budget.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1