Paper Info
Title
Semantic data selection for vertical business voice search
Abstract
Local business voice search is a popular application for mobile phones, where hands-free interaction and speed are critical to users. However, speech recognition accuracy is still not satisfactory when the number of businesses and locations is extended nationwide. For mobile users, searching a local business directory is often related to the fulfillment of specific tasks "on-the-move", such as finding a restaurant, a movie theater, or a retailer chain. Restricting the local search to specific domains improves the quality of search results. In this paper, we present a new approach to data selection for bootstrapping and optimizing language models for vertical business sectors by exploiting semantic knowledge encoded in the business database and in the business category taxonomy. We demonstrate that, in the case of queries in the restaurant domain and without collecting new data, speech recognition word accuracy improves by 9.5% relative when compared with a generic local business language model.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5947633
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
business data processing,information retrieval,semantic networks,speech recognition,speech synthesis,bootstrapping,business category taxonomy,business database,business directory searching,generic local business language model,hands free interaction,language models optimization,local business voice search,semantic data selection,semantic knowledge encoding,speech recognition accuracy,vertical business sectors,vertical business voice search,Local business search,language modeling,voice search
Data modeling,Computer science,Natural language processing,Business domain,Artificial intelligence,Voice search,Language model,Semantic data model,Pattern recognition,Information retrieval,Semantic network,Local search (optimization),Business rule
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4577-0537-3
978-1-4577-0537-3
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Giuseppe Di Fabbrizio133044.45
Diamantino A. Caseiro216120.40
Amanda J. Stent31094103.35