Title
Using Closed-Set Speaker Identification Score Confidence to Enhance Audio-Based Collaborative Filtering for Multiple Users.
Abstract
In this paper, we utilize a closed-set speaker-identification approach to convey the ratings needed for collaborative filtering-based recommendation. Instead of explicitly providing a rating for a given program, users use a speech interface to dictate the desired rating after watching a movie. Due to the inaccuracies that may be imposed by a state-of-the-art speaker identification system, it is po...
Year
DOI
Venue
2018
10.1109/TCE.2018.2811250
IEEE Transactions on Consumer Electronics
Keywords
Field
DocType
Speech,Motion pictures,Collaboration,Filtering,Feature extraction,Thumb,Correlation
Computer vision,Heuristic,Speaker identification,Collaborative filtering,Mistake,Computer science,Filter (signal processing),Speech recognition,Closed set,Feature extraction,Correlation,Artificial intelligence
Journal
Volume
Issue
ISSN
64
1
0098-3063
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Sven Ewan Shepstone1183.69
Zheng-Hua Tan245760.32
Miklas S Kristoffersen3123.06