IVR

Human language technology specialist AppTek has reportedly unveiled its enhanced automated speech recognition (ASR) engine for Farsi.

 

Officials at AppTek said that ASR technology is the first solution to employ Farsi transcription and translation on a single platform, which can be utilized for many leading-edge machine translation and multilingual information retrieval projects, including media monitoring. It can also adjust to changes in dialect and language in real-time to improve speed and accuracy.

 

Automated speech recognition, which processes several other key languages such as Arabic and Spanish, allows users to speak entries rather than punching numbers on a keypad. It is primarily used to provide information and to forward telephone calls. Sophisticated ASR systems allow the user to enter direct queries or responses, such as a request to a movie ticket or asking for driving directions.

 

“The benefits of the enhanced ASR engine go beyond traditional uses, as we are able to provide customers with mobile communications,” said Steve Cook, CTO at AppTek, in a statement. “By utilizing the ASR engine through handheld devices, users are able to reap the benefits of the translation software where it makes the greatest impact, out in the field.”

 

ASR is currently in use by several federal government applications and major commercial interactive voice response (IVR) programs across the world. It can be used in a laptop, a server or a handheld device offering a lower cost of ownership and greater accuracy, says the company.

 

Headquartered in McLean, VA, the company’s line of product includes machine translation for 30 language pairs; multilingual information retrieval with query and topic search capabilities; name-finding applications; and integrated suites providing automatic speech recognition and machine translation. APIs and SDKs are also available for integration and development.

 

The company’s technologies can translate and mine data from multiple media types, including audio, video, text, instant messaging and HTML.