Automatic call-routing without transcriptions
نویسندگان
چکیده
Call-routing is now an established technology to automate customers’ telephone queries. However, transcribing calls for training purposes for a particular application requires considerable human effort, and it would be preferable for the system to learn routes without transcriptions being provided. This paper introduces a technique for fully automatic routing. It is based on firstly identifying salient acoustic morphemes in a phonetic decoding of the input speech, followed by Linear Discriminant Analysis (LDA) to improve classification. Experimental results on an 18 route retail store enquiry point task using this technique are compared with results obtained using word-level transcriptions.
منابع مشابه
Automatic Call-Routing wit
Call-routing is now an established technology to automate customers’ telephone queries. However, transcribing calls for training purposes for a particular application requires considerable human effort, and it would be preferable for the system to learn routes without transcriptions being provided. This paper introduces a technique for fully automatic routing. It is based on firstly identifying...
متن کاملQiang and Cox . Revised April 2005 TASK - INDEPENDENT CALL - ROUTING
Qiang Huang and Stephen Cox∗ School of Computing Sciences, University of East Anglia, Norwich NR4 7TJ, U.K. [email protected] Abstract Call-routing is the technology of automatically classifying the type of a telephone call from a customer to a business or an institution in order to transmit the call onward to the correct “destination”. Making transcriptions of calls to provide training data fo...
متن کاملTask-independent call-routing
Qiang Huang and Stephen Cox∗ School of Computing Sciences, University of East Anglia, Norwich NR4 7TJ, U.K. [email protected] Abstract Call-routing is the technology of automatically classifying the type of a telephone call from a customer to a business or an institution in order to transmit the call onward to the correct “destination”. Making transcriptions of calls to provide training data fo...
متن کاملTranscription-less call routing using unsupervised language model adaptation
A key challenge when building call routing applications is the need for an extensive set of in-domain data that is manually transcribed and labeled, a process which is both expensive and time consuming. In this paper we analyze a Language Model training approach based on unsupervised self-adaptation which does not require any manual transcriptions of the in-domain audio data. We investigate the...
متن کاملThe use of confidence measures in vector based call-routing
In previous work, we experimented with different techniques of vector-based call routing, using the transcriptions of the queries to compare algorithms. In this paper, we base the routing decisions on the recogniser output rather than transcriptions and examine the use of confidence measures (CMs) to combat the problems caused by the “noise” in the recogniser output. CMs are derived for both th...
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تاریخ انتشار 2003