Paper Info
Title
The effect of speech denoising algorithms on sound source localization for humanoid robots
Abstract
In this paper we study the suitability and performance of four major speech denoising algorithms as weighting functions for the Generalized Cross-Correlation (GCC) and discuss the role of the microphones' frequency response on the localization estimates. An evaluation is made with the humanoid robot Nao. Moving away from simulated environments, we look at the performance of sound source localization under different in-system and ambient noise conditions. We also present a time delay of arrival (TDOA) / GCC based sound source localization method for real-world humanoid robots which was used for our experiments. This method addresses the robot's shape influence by utilizing a pre-measured set of TDOAs.
Year
DOI
Venue
2012
10.1109/ISSPA.2012.6310569
2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)
Keywords
Field
DocType
Microphone arrays,sound source localization,time delay of arrival (TDOA),generalized cross correlation (GCC),speech denoising,Nao
Speech processing,Weighting,Ambient noise level,Computer science,Artificial intelligence,Acoustic source localization,Humanoid robot,Motion planning,Computer vision,Algorithm,Speech recognition,Multilateration,Robot
Conference
ISBN
Citations 
PageRank 
978-1-4673-0381-1
4
0.42
References 
Authors
7
4
Name
Order
Citations
PageRank
Georgios Athanasopoulos1313.83
Tomas Dekens2203.59
Henk Brouckxon3111.31
Werner Verhelst443151.55