Hearing Loss Products and Services
Advertise on Hearing Loss Web
Search This Site or the Web

Free Email Newsletter

Jobs, Jobs, Jobs

Hearing Loss Web Banner
Discussion Forum
Hearing Loss Events
Last Update: Aug 29

 

Home

About Us

Search this Site

New to Hearing Loss?
In the News

Discussion Forum

HOH-LD-News

Advertise

Contact Us

Glossary

Events

 

Issues

Access

Oral Communications

Emergency Planning

Employment

Family

Hearing Aid Affordability

Identity

Law Enforcement

Psychological

Services

 

Medical

Audiology

Causes

Cures

Meniere's Disease

Tinnitus

Local Resources and Events
 
Employment Opportunities
 
Education Opportunities
 

Hearing Loss Products and Services

Advocates and Legal
Alerting Devices
Assistive Listening Devices
Business Services

Captioning

Financial Services
General Stores

Government

Health Products and Services
Hearing Aids
Hearing Aid Accessories
Hearing Aid Batteries
Hearing Aid Maintenance
Hearing Aid Repair
Hearing Dogs
Hearing Loss Organizations
Hints and Tips
Kids' Stuff
Medical Products and Services
Pagers

Publications

Relay Service
Sign Language Materials
Telecommunications Distribution Program

Telephones

Travel

TTYs (TDDs)

TTY Repairs

Two-Way Pagers

Technology

Alerting Devices

Assistive Listening Devices

Cochlear Implants

Hearing Aids

Speech Recognition

Telephones

Two Way Pagers

TTYs (TDDs)

Visual Communications

Links

USC/Navy Research

Biomedical engineers at the University of Southern California have created the world's first machine system that can recognize spoken words better than humans can. In benchmark testing, USC's speech recognition system bested all existing computer systems and outperformed the keenest human ears. The system may eventually advance voice control of computers and other machines, help the deaf, aid air traffic controllers and others who must understand speech in noisy environments, and instantly produce clean transcripts of conversations, with each speaker correctly identified. "We'll definitely see an improvement in the interaction between man and computer," said ONR Program Officer Joel Davis, who helps fund the research. "With speech recognition capability, computer keyboards could become obsolete."

 

The U.S. Navy is supporting the research for its potential benefits to Navy sonar. A demonstration of the Berger-Liaw Neural Network Speaker-Independent Speech Recognition System can be found on line at:

http://www.usc.edu/ext-relations/news_service/real/real_video.html.

 

Contact: Loretta De Sio

desiol@onr.navy.mil

703-696-5032

Office of Naval Research