

Allows developers to easily create voice-based apps for iPhone, iPad and Androïd devices.
teliPhone is Onmobile's grammar-based speech recognition solution for smart phones. teliPhone frees the user from typing with impractical keyboards.
The teliPhone evaluation kit is made up of a ready-to-use SDK (Software Development Kit) which includes documentation for developers, a demo with ready-to-use compiled grammars (days, months and cities), and a Quick Starter Guide to enable users to get off to an easy start with teliPhone.
You will also be provided with access to the teliPhone web site that contains :
Moreover, the teliPhone evaluation kit allows you to remotely access our hosted speech recognition servers on which you will be able to easily test and tune your grammars and application.
We have defined two versions of the teliPhone evaluation kit, based on the following features:
teliPhone "basic" evaluation kit which is valid for three months and gives you the right to create and use grammars that contain up to twenty entries.
If you choose the "Premium" version of teliPhone evaluation kit, you will also have the right to get direct mail support from our support team, be allowed to upload and use bigger grammars and you will be able to access remote speech recognition servers for one year.
Remote speech recognition servers run teliSpeech, Onmobile's speech recognition software already deployed on over 80000 telephony ports in numerous fields of industry such as banking, insurance, transport, telecommunications and entertainment. Over a one year period, this technology, entirely compliant with industry standards such as Voice XML 2.0, MRCP 1.0, SISR, SRGS and NLSML, is used by more than 3 million calls.
teliSpeech guarantess a high level of recognition performance, regardless of environment, speaker or language and is now available in 30 different languages from around the world, including main European, American and Indian languages and dialects. It also provides you with an efficient speech detection (Voice Activity Detection, VAD) that is able to separate user's speech from background noise. Every solution is returned along with a reliable confidence score that will allow you to decide whether this recognition result is acceptable or not.