Vocapia Research announces the availability of two additional languages, Polish and Greek, in the VoxSigma speech-to-text software suite. The transcription systems target a range of broadcast and webdata. The Polish support comes with a 400k word vocabulary to handle the large variety of inflected forms arising from conjugation and declension. As for the Russian language, pronunciation modeling accounts for the contextual forms of consonants which can be plain (also called hard) or palatalized (also called soft). For the Greek language, the recognition vocabulary explicitly models pronunciation variants for frequent foreign words. The language coverage of the VoxSigma suite is expanding regularly. The following languages are currently available: Arabic, Chinese (Mandarin), Dutch, English, French, German, Greek, Italian, Polish, Russian, and Spanish. All these languages are offered as a standalone software and via Vocapia's web service.

Vocapia Research, founded in July 2000, is an R&D company developing and providing leading edge speech technologies and solutions for many languages, including most major European languages as well as Arabic, Mandarin, and Russian. The Vocapia Research VoxSigma^® software suite uses advanced language technologies such as language identification, speech recognition, and speaker identification to transform raw audio and audiovisual data into structured and searchable XML documents. This technology relies on over 25 years of research at LIMSI-CNRS, with which there is a priviledged partnership. Joint systems developed with LIMSI have achieved top ranks in national and international challenges of speech-to-text transcription. The most common applications of the VoxSigma software suite are audio and audiovisual data mining (broadcast data, podcasts, call center data), media monitoring, and media asset management. Vocapia Research is located in the scientific pole of the Saclay Plateau, France. Readers who wish to get more information about Vocapia Research are invited to check out the Vocopia Research website or use the contact information page http://www.vocapia.com/contact.