Abstract
This paper describes the I2R/NTU system submitted for the NIST Rich Transcription 2007 (RT-07) Meeting Recognition evaluation Multiple Distant Microphone (MDM) task. In our system, speaker turn detection and clustering is done using Direction of Arrival (DOA) information. Purification of the resultant speaker clusters is then done by performing GMM modeling on acoustic features. As a final step, non-speech & silence removal is done. Our system achieved a competitive overall DER of 15.32% for the NIST Rich Transcription 2007 evaluation task.
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Koh, E.C.W. et al. (2008). Speaker Diarization Using Direction of Arrival Estimate and Acoustic Feature Information: The I2R-NTU Submission for the NIST RT 2007 Evaluation. In: Stiefelhagen, R., Bowers, R., Fiscus, J. (eds) Multimodal Technologies for Perception of Humans. RT CLEAR 2007 2007. Lecture Notes in Computer Science, vol 4625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68585-2_45
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DOI: https://doi.org/10.1007/978-3-540-68585-2_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68584-5
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