Automatic Speech Recognition Services: Deaf and Hard-of-Hearing Usability

09/03/2019
by   Abraham Glasser, et al.
0

Nowadays, speech is becoming a more common, if not standard, interface to technology. This can be seen in the trend of technology changes over the years. Increasingly, voice is used to control programs, appliances and personal devices within homes, cars, workplaces, and public spaces through smartphones and home assistant devices using Amazon's Alexa, Google's Assistant and Apple's Siri, and other proliferating technologies. However, most speech interfaces are not accessible for Deaf and Hard-of-Hearing (DHH) people. In this paper, performances of current Automatic Speech Recognition (ASR) with voices of DHH speakers are evaluated. ASR has improved over the years, and is able to reach Word Error Rates (WER) as low as 5-6 cloud-computing and machine learning algorithms that take in custom vocabulary models. In this paper, a custom vocabulary model is used, and the significance of the improvement is evaluated when using DHH speech.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/19/2022

Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking

The development of deep learning technology has greatly promoted the per...
08/23/2021

Automatic Speech Recognition using limited vocabulary: A survey

Automatic Speech Recognition (ASR) is an active field of research due to...
09/03/2019

Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals

Many personal devices have transitioned from visual-controlled interface...
09/03/2019

Deaf, Hard of Hearing, and Hearing Perspectives on using Automatic Speech Recognition in Conversation

Many personal devices have transitioned from visual-controlled interface...
07/19/2021

A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework

Mobile devices are transforming the way people interact with computers, ...
05/12/2023

Investigating the Sensitivity of Automatic Speech Recognition Systems to Phonetic Variation in L2 Englishes

Automatic Speech Recognition (ASR) systems exhibit the best performance ...
09/04/2018

HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition

Nowadays, machine learning based Automatic Speech Recognition (ASR) tech...

Please sign up or login with your details

Forgot password? Click here to reset