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ABSP System for The Third DIHARD Challenge

Authors
  • Kumar, A. Kishore
  • Waldekar, Shefali
  • Saha, Goutam
  • Sahidullah, Md
Publication Date
Feb 04, 2021
Source
HAL
Keywords
Language
English
License
Unknown
External links

Abstract

This report describes the speaker diarization system developed by the ABSP Laboratory team for the third DIHARD speech diarization challenge. Our primary contribution is to develop acoustic domain identification (ADI) system for speaker diarization. We investigate speaker embeddings based ADI system. We apply a domain-dependent threshold for agglomerative hierarchical clustering. Besides, we optimize the parameters for PCA-based dimensionality reduction in a domain-dependent way. Our method of integrating domain-based processing schemes in the baseline system of the challenge achieved a relative improvement of 9.63% and 10.64% in DER for core and full conditions, respectively, for Track 1 of the DIHARD III evaluation set.

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