5 citations · 9 across the 4 of their papers we have counts for
4 papers
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…
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…
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis
Rishabh Jain, Mariam Yiwere, Dan Bigioi +2
Speech synthesis has come a long way as current text-to-speech (TTS) models can now generate natural human-sounding speech. However, most of the TTS research focuses on using adult…
A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition
Rishabh Jain, Andrei Barcovschi, Mariam Yiwere +3
Despite recent advancements in deep learning technologies, Child Speech Recognition remains a challenging task. Current Automatic Speech Recognition (ASR) models require substantia…