JUPlTER: a telephone-based conversational interface for weather information

Autor: Timothy J. Hazen, Joseph Polifroni, James Glass, Stephanie Seneff, Christine Pao, Lee Hetherington, Victor W. Zue
Rok vydání: 2000
Předmět:
Zdroj: IEEE Transactions on Speech and Audio Processing. 8:85-96
ISSN: 1063-6676
DOI: 10.1109/89.817460
Popis: In early 1997, our group initiated a project to develop JUPITER, a conversational interface that allows users to obtain worldwide weather forecast information over the telephone using spoken dialogue. It has served as the primary research platform for our group on many issues related to human language technology, including telephone-based speech recognition, robust language understanding, language generation, dialogue modeling, and multilingual interfaces. Over a two year period since coming online in May 1997, JUPITER has received, via a toll-free number in North America, over 30000 calls (totaling over 180000 utterances), mostly from naive users. The purpose of this paper is to describe our development effort in terms of the underlying human language technologies as well as other system-related issues such as utterance rejection and content harvesting. We also present some evaluation results on the system and its components.
Databáze: OpenAIRE