3 papers
cs.SD2022
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition
Piotr Żelasko, Siyuan Feng, Laureano Moro Velazquez +5
The high cost of data acquisition makes Automatic Speech Recognition (ASR) model training problematic for most existing languages, including languages that do not even have a writt…
eess.AS2020
Automatic Estimation of Intelligibility Measure for Consonants in Speech
Ali Abavisani, Mark Hasegawa-Johnson
In this article, we provide a model to estimate a real-valued measure of the intelligibility of individual speech segments. We trained regression models based on Convolutional Neur…
q-bio.QM2019
The role of cue enhancement and frequency fine-tuning in hearing impaired phone recognition
Ali Abavisani, Mark A Hasegawa-Johnson
A speech-based hearing test is designed to identify the susceptible error-prone phones for individual hearing impaired (HI) ear. Only robust tokens in the experiment noise levels h…