International Business Machines Corporation

Vincent M Stanford

Elton B Sherwin, Jr

Frank Vincent Castellucci

Alice G Klein

Joseph H Garman

Ora J Williamson

A continuous speech recognition and voice response system provides a natural sounding and effective interactive, speech-driven dialogue from a data processing system. A concatenation of words into phrases and sentences improves recognition and mimic natural language processing. The system uses speaker-independent, continuous-speech to initiate the playback of audio files. The system employs high-speed context switching to modify the active vocabulary and applies high-speed context switching to modify or activate Audio WAV voice response files. The system uses dialogue history to activate selected context, Baukus-Naur Form (BNF) grammars and WAV files and provides phrase or sentence long dialogue prompts to improve accuracy. The system also provides audio prompts to improve accuracy and provides speech-activated buttons to navigate between menus.

Continuous speech recognition and voice response system and method to

A digitized speech data channel is analyzes for the presence of words or phrases from a desired list. If the word is not present the speech time series from the channel, there is a high probability of matching the input data to phonemic noise markers rather than to word models. This is accomplished through the use of a competitive algorithm wherein Hidden Markov Models (HMMs) of the desired words or phrases compete with an alternative HMM of a set of phonemes. The set of phonemes can be chosen in order to reduce the computer resources required for the channel analysis.

Growing community of inventors

Gaithersburg, MD, United States of America

Vincent M Stanford