A Speaker Localization System for Lecture Room Environment

  • Mikko Parviainen
  • Tuomo Pirinen
  • Pasi Pertilä
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4299)


This paper presents a speaker localization system, which is an entry to Rich Transcription 2005 Spring Meeting Recognition Evaluation. The system is developed in the Institute of Signal Processing at Tampere University of Technology (TUT). The paper describes the framework of the evaluation and the proposed localization system. This paper is an extension to [1] giving the actual performance values of the system.

The localization system is based on spatially separate sensor stations. The sensor stations estimate Direction of Arrival (DOA) of acoustic wavefronts. Each sensor station produces a three dimensional DOA vector. The estimated DOA vectors at each time instant are combined to calculate the location of the sound sound source.

The performance of the system was determined using a set of predefined metrics. Using multiple metrics enables one to evaluate the performance of the localization system from different viewpoints. The overall performance is characterized by RMS error between estimates and reference positions. The results show that the performance of the proposed system is consistent and accuracy is satisfactory for meeting room scenario. However, several improvements can be seen.


Localization System Sound Source Sensor Station Localization Task Stream Segregation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mikko Parviainen
    • 1
  • Tuomo Pirinen
    • 1
  • Pasi Pertilä
    • 1
  1. 1.Institute of Signal ProcessingTampere University of TechnologyTampereFinland

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