A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods
to Improve Child Speech Recognition

A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition

6 April 2022

Andrei Barcovschi

Papers citing "A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition"

10 / 10 papers shown

Title
Self-Supervised Models for Phoneme Recognition: Applications in Children's Speech for Reading Learning Lucas Block Medin Thomas Pellegrini Lucile Gelin SSL 61 1 0 06 Mar 2025
Children's Speech Recognition through Discrete Token Enhancement Vrunda N. Sukhadia Shammur A. Chowdhury 35 1 0 19 Jun 2024
Analysis of Self-Supervised Speech Models on Children's Speech and Infant Vocalizations Jialu Li M. Hasegawa-Johnson Nancy L. McElwain 16 3 0 10 Feb 2024
A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognition Andrei Barcovschi Rishabh Jain Peter Corcoran 19 3 0 07 Nov 2023
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning Rishabh Jain Peter Corcoran 20 0 0 07 Nov 2023
Using State-of-the-Art Speech Models to Evaluate Oral Reading Fluency in Ghana Owen Henkel Hannah Horne-Robinson Libby Hills Bill Roberts Joshua A. McGrane 12 0 0 26 Oct 2023
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults Ahmed Adel Attia Jing Liu Wei Ai Dorottya Demszky Carol Y. Espy-Wilson 11 13 0 12 Sep 2023
Adaptation of Whisper models to child speech recognition Rishabh Jain Andrei Barcovschi Mariam Yiwere Peter Corcoran H. Cucu 11 30 0 24 Jul 2023
Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations Nayan Anand Meenakshi Sirigiraju Chiranjeevi Yarra 19 1 0 15 Jun 2023
Fundamental Frequency Feature Normalization and Data Augmentation for Child Speech Recognition Gary Yeung Ruchao Fan Abeer Alwan 26 20 0 18 Feb 2021