Abstract

In the Sensory Communications Laboratory at MIT, several researchers have grappled with the question of how to predict listeners' perceptual performance using quantitative metrics. Most of the work has been motivated by the goal of understanding the effect of acoustic degradations on speech intelligibility for hearing impaired listeners and determining the best way to mitigate or counter those degradations. Louis Braida has been interested in this topic for many years. He worked with Ken Grant to investigate augmentation of the Articulation Index (AI) with visual information to obtain an audio-visual AI. He continued this work with other students modeling perceptual integration across modalities. Lou and I worked together to investigate the ability of the Speech Transmission Index (STI) to predict intelligibility for impaired listeners. Initially, we tried to use it as a way to try and capture acoustic differences between conversational and clearly-articulated speech. That evolved into the development of ...

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.