Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech

no code implementations • 13 Sep 2024 • Pan-Pan Jiang, Jimmy Tobin, Katrin Tomanek, Robert L. MacDonald, Katie Seaver, Richard Cave, Marilyn Ladewig, Rus Heywood, Jordan R. Green

Project Euphonia, a Google initiative, is dedicated to improving automatic speech recognition (ASR) of disordered speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Speech Intelligibility Classifiers from 550k Disordered Speech Samples

no code implementations • 13 Mar 2023 • Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan Green, Michael P. Brenner

We developed dysarthric speech intelligibility classifiers on 551, 176 disordered speech samples contributed by a diverse set of 468 speakers, with a range of self-reported speaking disorders and rated for their overall intelligibility on a five-point scale.

An analysis of degenerating speech due to progressive dysarthria on ASR performance

no code implementations • 31 Oct 2022 • Katrin Tomanek, Katie Seaver, Pan-Pan Jiang, Richard Cave, Lauren Harrel, Jordan R. Green

Although personalized automatic speech recognition (ASR) models have recently been designed to recognize even severely impaired speech, model performance may degrade over time for persons with degenerating speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1