A recurrent neural network for sound-source motion tracking and prediction

John C. Murray; Harry Erwin; Stefan Wermter

doi:10.1109/IJCNN.2005.1556248

A recurrent neural network for sound-source motion tracking and prediction

John C. Murray, Harry Erwin, Stefan Wermter

University of Sunderland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Recurrent neural networks (RNN) have been used in many applications for both pattern detection and prediction. This paper shows the use of RNN's as a speed classifier and predictor for a robotic sound source tracking system. The system requires extensive training to classify all possible speeds to enable dynamic tracking of the most prominent sound within the environment.

Original language	English
Title of host publication	Proceedings. 2005 IEEE International Joint Conference on Neural Networks, IJCNN 2005
Publisher	IEEE
Pages	2232-2236
Number of pages	5
ISBN (Print)	0780390482
DOIs	https://doi.org/10.1109/IJCNN.2005.1556248
Publication status	Published - 27 Dec 2005
Externally published	Yes
Event	International Joint Conference on Neural Networks 2005 - Montreal, QC, Canada Duration: 31 Jul 2005 → 4 Aug 2005 https://ieeexplore.ieee.org/document/1555789

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Publisher	IEEE
Volume	4
ISSN (Print)	2161-4393
ISSN (Electronic)	2161-4407

Conference

Conference	International Joint Conference on Neural Networks 2005
Abbreviated title	IJCNN 2005
Country/Territory	Canada
City	Montreal, QC
Period	31/07/05 → 4/08/05
Internet address	https://ieeexplore.ieee.org/document/1555789

Access to Document

10.1109/IJCNN.2005.1556248Licence: Unspecified

Cite this

Murray, J. C., Erwin, H., & Wermter, S. (2005). A recurrent neural network for sound-source motion tracking and prediction. In Proceedings. 2005 IEEE International Joint Conference on Neural Networks, IJCNN 2005 (pp. 2232-2236). Article 1556248 (Proceedings of the International Joint Conference on Neural Networks; Vol. 4). IEEE. https://doi.org/10.1109/IJCNN.2005.1556248

@inproceedings{5528194e7fb549a18e17849ca9387de6,

title = "A recurrent neural network for sound-source motion tracking and prediction",

abstract = "Recurrent neural networks (RNN) have been used in many applications for both pattern detection and prediction. This paper shows the use of RNN's as a speed classifier and predictor for a robotic sound source tracking system. The system requires extensive training to classify all possible speeds to enable dynamic tracking of the most prominent sound within the environment.",

keywords = "Cross-correlation, Prediction, Recurrent Neural Network, Robotics, Tracking",

author = "Murray, \{John C.\} and Harry Erwin and Stefan Wermter",

year = "2005",

month = dec,

day = "27",

doi = "10.1109/IJCNN.2005.1556248",

language = "English",

isbn = "0780390482",

series = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "IEEE",

pages = "2232--2236",

booktitle = "Proceedings. 2005 IEEE International Joint Conference on Neural Networks, IJCNN 2005",

address = "United States",

note = "International Joint Conference on Neural Networks 2005, IJCNN 2005 ; Conference date: 31-07-2005 Through 04-08-2005",

url = "https://ieeexplore.ieee.org/document/1555789",

}

Murray, JC, Erwin, H & Wermter, S 2005, A recurrent neural network for sound-source motion tracking and prediction. in Proceedings. 2005 IEEE International Joint Conference on Neural Networks, IJCNN 2005., 1556248, Proceedings of the International Joint Conference on Neural Networks, vol. 4, IEEE, pp. 2232-2236, International Joint Conference on Neural Networks 2005, Montreal, QC, Canada, 31/07/05. https://doi.org/10.1109/IJCNN.2005.1556248

A recurrent neural network for sound-source motion tracking and prediction. / Murray, John C.; Erwin, Harry; Wermter, Stefan.
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, IJCNN 2005. IEEE, 2005. p. 2232-2236 1556248 (Proceedings of the International Joint Conference on Neural Networks; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A recurrent neural network for sound-source motion tracking and prediction

AU - Murray, John C.

AU - Erwin, Harry

AU - Wermter, Stefan

PY - 2005/12/27

Y1 - 2005/12/27

N2 - Recurrent neural networks (RNN) have been used in many applications for both pattern detection and prediction. This paper shows the use of RNN's as a speed classifier and predictor for a robotic sound source tracking system. The system requires extensive training to classify all possible speeds to enable dynamic tracking of the most prominent sound within the environment.

AB - Recurrent neural networks (RNN) have been used in many applications for both pattern detection and prediction. This paper shows the use of RNN's as a speed classifier and predictor for a robotic sound source tracking system. The system requires extensive training to classify all possible speeds to enable dynamic tracking of the most prominent sound within the environment.

KW - Cross-correlation

KW - Prediction

KW - Recurrent Neural Network

KW - Robotics

KW - Tracking

UR - https://www.scopus.com/pages/publications/33750112285

U2 - 10.1109/IJCNN.2005.1556248

DO - 10.1109/IJCNN.2005.1556248

M3 - Conference contribution

AN - SCOPUS:33750112285

SN - 0780390482

T3 - Proceedings of the International Joint Conference on Neural Networks

SP - 2232

EP - 2236

BT - Proceedings. 2005 IEEE International Joint Conference on Neural Networks, IJCNN 2005

PB - IEEE

T2 - International Joint Conference on Neural Networks 2005

Y2 - 31 July 2005 through 4 August 2005

ER -

A recurrent neural network for sound-source motion tracking and prediction

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this