Application of automatic speech recognition in call classification
Sharmistha Sarkar Das, Norman Chan, Danny Wages, John H. L. Hansen · IEEE International Conference on Acoustics Speech and Signal Processing · 2002
Call classification is the process of characterizing the audio signals encountered when a phone call is placed. The signal can be a live person, an answering machine, a call progress tone (ringback, busy, etc.), a fax modem tone or an announcement message. Call processing system uses the output of the call classifier to perform automated call routing. Traditionally, in-band signaling between communication system endpoints and users are in the form of audible tones. With the advent of technology, these signals have been augmented by synthesized and recorded human speech. A “busy tone”, for example, may be replaced by recorded speech. Traditional call classifiers, which are mainly tone detectors, have become increasingly ineffective. This paper proposes a new generation call classifier employing Automatic Speech Recognition (ASR). Modifications of the ASR paradigm are suggested to incorporate signal recognition, and results presented for two call classifier scenarios.