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Improving In-Vehicle Voice Recognition Systems: Basis for Enhancing the Telematics Experience General Motors do Brasil Ltda

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Vollet, Rogerio, author.
Conference Name:
International Mobility Technology Conference and Exhibit (2000-10-03 : Sao Paulo, Brazil)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2000
Summary:
Although voice recognition is not essential for telematics application, it is certainly one of the most attractive features for the customer who buys it. The appealing is such that may determine the whole system success in the market and, therefore, deserves our attention. This paper discusses the voice recognition task and ways to improve it in the vehicle hostile environment. In order to create a robust system, artificial neural networks are being used in combination to the appropriate signal processing, which includes temporal alignment and spectral transformation for MFCCs features extraction. The problems related to in-vehicle application are described and feasible solutions are suggested. A proposed architecture is then designed considering all foreseen complications, taking advantage of sensors already available in other vehicle systems, ensuring the performance optimization at minimum cost increase
Notes:
Vendor supplied data
Publisher Number:
2000-01-3286
Access Restriction:
Restricted for use by site license

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