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arXiv · 2104.02359

LEAP Submission for the Third DIHARD Diarization Challenge

Prachi Singh·Rajat Varma·Venkat Krishnamohan·Srikanth Raj Chetupalli·Sriram Ganapathy
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Abstract

The LEAP submission for DIHARD-III challenge is described in this paper. The proposed system is composed of a speech bandwidth classifier, and diarization systems fine-tuned for narrowband and wideband speech separately. We use an end-to-end speaker diarization system for the narrowband conversational telephone speech recordings. For the wideband multi-speaker recordings, we use a neural embedding based clustering approach, similar to the baseline system. The embeddings are extracted from a time-delay neural network (called x-vectors) followed by the graph based path integral clustering (PIC) approach. The LEAP system showed 24% and 18% relative improvements for Track-1 and Track-2 respectively over the baseline system provided by the organizers. This paper describes the challenge submission, the post-evaluation analysis and improvements observed on the DIHARD-III dataset.

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Prachi Singh, Rajat Varma, Venkat Krishnamohan, Srikanth Raj Chetupalli, Sriram Ganapathy. 2021-04-06. LEAP Submission for the Third DIHARD Diarization Challenge. https://arxiv.org/abs/2104.02359

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