Vladimir Bergl

Two-pass search strategy for large list recognition on embedded speech recognition platforms

This paper presents an efficient algorithm for a speech recognition system which can process large lists of items. The described two-pass search implementation focuses on maximizing the speed and minimizing the memory footprint of the search engine. The algorithm is designed to handle thousands or tens of thousands of words in a search space restricted by a grammar. A typical example of such a task is stock name recognition, street name finding, song selection etc. The intended application of this algorithm is in embedded ASR system in portable devices (e.g. iPAQ) or cars.

CarDialer: multi-modal in-vehicle cellphone control application

This demo presents CarDialer - an in-car cellphone control application. Its multi-modal user interface blends state-of-the-art speech recognition technology (including text-to-speech synthesis) with the existing well proven elements of a vehicle information system GUI (buttons mounted on a steering wheel and an LCD equipped with touch-screen). This conversational system provides access to name dialing, unconstrained dictation of numbers, adding new names, operations with lists of calls and messages, notification of presence, etc. The application is fully functional from the first start, no prerequisite steps such as configuration, speech recognition enrollment) are required. The presentation of the proposed multi-modal architecture goes beyond the specific application and presents a modular platform to integrate application logic with various incarnations of UI modalities.