Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation

Author:

Kwon Youngki1,Heo Hee-Soo1,Jung Jee-Weon1,Kim You Jin1,Lee Bong-Jin1,Chung Joon Son2

Affiliation:

1. Naver Corporation,South Korea

2. Korea Advanced Institute of Science and Technology,South Korea

Publisher

IEEE

Reference34 articles.

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3. A study on data augmentation of reverberant speech for robust speech recognition

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2. ATGNN: Audio Tagging Graph Neural Network;IEEE Signal Processing Letters;2024

3. M-Diarization: A Myanmar Speaker Diarization using Multi-scale dynamic weights;2023 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2023-12-04

4. A review of deep learning techniques for speech processing;Information Fusion;2023-11

5. Graph attention-based deep embedded clustering for speaker diarization;Speech Communication;2023-11

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