AppTek has announced the addition of Farsi and Urdu language automated speech recognition (ASR) engines to its PlainSpeech platform. This improved ASR engine will also process various other key languages like Arabic, Spanish, French, German, Italian, Albanian, Dutch, Turkish and English. This ASR is attuned for machine translation usage, providing a complete solution to the customers without the involvement of integration costs or complex development. AppTek's GSA (News - Alert) schedule will make available AppTek's PlainSpeech Farsi and Urdu Broadcast and PlainSpeech Farsi Telephony engines to commercial customers and the U.S. Government.
PlainSpeech Farsi telephony is an exclusive offering in the language technologies market as it is particularly engineered for the challenging content of unscripted natural language, dialect, noise and various other aspects of non-broadcast environments. PlainSpeech Farsi and Urdu Broadcast are specially designed for news-oriented content from either television or radio, it also readily processes all broadcasts which include news, multi-speaker roundtable discussions and debates and also open-air interviews conducted outside the studio.
AppTek's Farsi ASR technology is the pioneer solution which has been developed paralleling with a Hybrid Machine Translation system for a single platform that can be flawlessly deployed for many translation, knowledge discovery and multilingual information retrieval and automated media monitoring.
In a release, Steve Cook, the CTO at AppTek said, 'The benefits of the enhanced ASR engine go beyond traditional uses on a server or PC, as we are also able to provide it to customers as a Smartphone application. 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.'
AppTek offers human language technology products for text and speech (voice) processing and recognition, such as machine translation and automatic speech recognition for an ever increasing list of more than 23 languages, multilingual information retrieval with query and topic search capabilities, name-finding applications and integrated suites which provide automatic speech recognition in media monitoring of broadcast and telephony speech.
Calvin Azuri is a contributing editor for TMCnet. To read more of Calvin's articles, please visit his columnist page.