Paper Info
Title
Conversational speech systems for on-board car navigation and assistance
Abstract
This paper describes our latest efforts in building a speech rec- ognizer for operating a navigation system through speech instead of typed input. Compared to conventional speech recognition for navigation systems, where the input is usually restricted t o a fixed set of keywords and keyword phrases, complete spontaneous sen- tences are allowed as speech input. We will present the interac- tion of speech input, parsing and the necessary reactions to the re- quested queries. Our system has been trained on German sponta- neous speech data and has been adapted to navigation queries us- ing MLLR. As the system is not restricted to command word input, a parser is necessary to further process the recognized utte rance. We show that within a lab environment our system is able to han- dle arbitrary spontaneous sentences as input to a navigatio n system successfully. The performance of the recognizer measured in word error rate gives a result of 18%. The parser has also been eval uated and yields an error rate of 20%.
Year
Venue
Keywords
1998
ICSLP
and destinations,hesitations,ungrammatical sen- tences etc.. keywords,2. the system has to be able to handle effects inherent in spon- taneous speech false starts,speech recognition,word error rate,error rate
Field
DocType
Citations 
Computer science,Voice activity detection,Word error rate,Navigation system,Utterance,Speech recognition,Artificial intelligence,Natural language processing,Parsing,German
Conference
6
PageRank 
References 
Authors
1.01
2
5
Name
Order
Citations
PageRank
Petra Geutner120041.39
Matthias Denecke217724.32
Uwe Meier313820.81
Martin Westphal48514.92
Alex Waibel563431980.68