Title :
Eyes free dialing for cellular telephones
Author :
Bendelac, G. ; Shallom, I.D.
Author_Institution :
DSP Group Inc., San Jose, CA, USA
Abstract :
The authors describe a chip set that implements voice dialing for cellular telephones using isolated-word speaker-dependent speech-recognition algorithms. High recognition rates of over 98% in noisy car cabins are achieved using noise-immune techniques for preprocessing, feature extraction, template training, and template comparison. A unique work endpoint detector is realized with a modified dynamic time warping algorithm and a noise-robust voice-activated switch. The chip set supports up to two users and a vocabulary of 32 words. It incorporates speech synthesis for guiding, prompting, and verification by vocal feedback, and allows dialing digit by digit or speed dialing of up to 10 stored numbers invoked with user-defined phrases
Keywords :
cellular radio; speech recognition; speech synthesis; telephone sets; cellular telephones; chip set; eyes free dialing; feature extraction; isolated-word speaker-dependent speech-recognition; modified dynamic time warping algorithm; noise-immune techniques; noise-robust voice-activated switch; preprocessing; speech synthesis; template comparison; template training; user-defined phrases; vocal feedback; voice dialing; work endpoint detector; Detectors; Eyes; Feature extraction; Feedback; Heuristic algorithms; Noise robustness; Speech synthesis; Switches; Telephony; Vocabulary;
Conference_Titel :
Vehicular Technology Conference, 1991. Gateway to the Future Technology in Motion., 41st IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
0-87942-582-2
DOI :
10.1109/VETEC.1991.140459