Work

Precision and error of automatic speech recognition.

Year: 2013

Type: conference-paper

Abstract: Experienced judges assessed performance of an automatic speech recognition system developed for linguistic exchanges within families in their natural environment.Preliminary results suggest overall good performance with relatively high precision and low error.

Source: Proceedings of meetings on acoustics

DOI: 10.1121/1.4798466

Authors: Mark VanDam, Noah H. Silbert

Institutions: Washington State University Spokane, University of Maryland, College Park

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Institutes of Health, National Institute on Deafness and Other Communication Disorders

Award: G2346282543