A spoken dialogue system of information retrieval on academic documents has been developed with a special attention to reply speech generation. In order to realize speech reply with its prosodic features properly controlled to express dialogue focuses, a scheme was developed to directly generating speech reply from reply con-tent. When developing the system firstly, a priority was placed on the automatic processing, and prosodic focus was controlled by rather simple rules (original rules). Based on the listening test for the reply speech generated using original rules, new rules were then developed. Through the further listening test, the rules were revised and called the revised rules. The validity of the revised rules was verified through...
Many natural language dialogue systems make use of `canned text' for output generation. This approac...
Identifying whether an utterance is a statement, question, greeting, and so forth is integral to eff...
The domain of the speech recognition and dialog system EVAR is train time table inquiry. We observed...
The recognition method of user’s feedback during the system’s utterance is proposed and its applicat...
In this paper, we show how prosodic information can be used in automatic dialogue systems and give s...
The current article discusses the problem of appropriate intonation selection in Person-Machine dial...
Computer programs designed to converse with humans in natural language provide a framework against w...
Spoken dialog systems today do not vary the prosody of their utterances, although prosody is known t...
The domain of the speech recognition and dialog system EVAR is train time table inquiry. We observed...
Due to recent advancements in speech technologies, a large number of spoken dialogue systems have be...
In this paper we show how prosody can be used in spo-ken dialog systems. First, we describe the phen...
If a dialog system were to respond to a user as naturally as a human, interaction would be smoother....
This paper describes work performed as part of the U.K. Alvey sponsored Voice Operated Database Inqu...
Generation of utterances in spoken dialogue systems often rely on simple, non-flexible methods such ...
Generating responses that take user preferences into account requires adaptation at all levels of th...
Many natural language dialogue systems make use of `canned text' for output generation. This approac...
Identifying whether an utterance is a statement, question, greeting, and so forth is integral to eff...
The domain of the speech recognition and dialog system EVAR is train time table inquiry. We observed...
The recognition method of user’s feedback during the system’s utterance is proposed and its applicat...
In this paper, we show how prosodic information can be used in automatic dialogue systems and give s...
The current article discusses the problem of appropriate intonation selection in Person-Machine dial...
Computer programs designed to converse with humans in natural language provide a framework against w...
Spoken dialog systems today do not vary the prosody of their utterances, although prosody is known t...
The domain of the speech recognition and dialog system EVAR is train time table inquiry. We observed...
Due to recent advancements in speech technologies, a large number of spoken dialogue systems have be...
In this paper we show how prosody can be used in spo-ken dialog systems. First, we describe the phen...
If a dialog system were to respond to a user as naturally as a human, interaction would be smoother....
This paper describes work performed as part of the U.K. Alvey sponsored Voice Operated Database Inqu...
Generation of utterances in spoken dialogue systems often rely on simple, non-flexible methods such ...
Generating responses that take user preferences into account requires adaptation at all levels of th...
Many natural language dialogue systems make use of `canned text' for output generation. This approac...
Identifying whether an utterance is a statement, question, greeting, and so forth is integral to eff...
The domain of the speech recognition and dialog system EVAR is train time table inquiry. We observed...