most citedAdaptation of Whisper models to child speech recognition

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023

Data Center Audio/Video Intelligence on Device (DAVID) -- An Edge-AI Platform for Smart-Toys

Gabriel Cosache, Francisco Salgado, Cosmin Rotariu +3

An overview is given of the DAVID Smart-Toy platform, one of the first Edge AI platform designs to incorporate advanced low-power data processing by neural inference models co-loca…

cs.HC2023

Synthetic Speaking Children -- Why We Need Them and How to Make Them

Muhammad Ali Farooq, Dan Bigioi, Rishabh Jain +3

Contemporary Human Computer Interaction (HCI) research relies primarily on neural network models for machine vision and speech understanding of a system user. Such models require e…

cs.CL2023

A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognition

Andrei Barcovschi, Rishabh Jain, Peter Corcoran

Automatic Speech Recognition (ASR) systems have progressed significantly in their performance on adult speech data; however, transcribing child speech remains challenging due to th…

cs.SD2023

Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning

Rishabh Jain, Peter Corcoran

Speech synthesis technology has witnessed significant advancements in recent years, enabling the creation of natural and expressive synthetic speech. One area of particular interes…

eess.AS20234 cited

Adaptation of Whisper models to child speech recognition

Rishabh Jain, Andrei Barcovschi, Mariam Yiwere +2

Automatic Speech Recognition (ASR) systems often struggle with transcribing child speech due to the lack of large child speech datasets required to accurately train child-friendly…