Similarity Measurement of Segment-Level Speaker Embeddings in Speaker Diarization-Reference-Cited by-同舟云学术

Similarity Measurement of Segment-Level Speaker Embeddings in Speaker Diarization

Published:2022 Issue: Volume:30 Page:2645-2658
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Wang Weiqing¹^ORCID,Lin Qingjian²,Cai Danwei¹^ORCID,Li Ming¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA

2. Data Science Research Center, Duke Kunshan University, Suzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9657755/09849033.pdf?arnumber=9849033

Reference59 articles.

1. Deep neural network-based speaker embeddings for end-to-end speaker verification

2. On-the-Fly Data Loader and Utterance-Level Aggregation for Speaker and Language Recognition

3. Dover: A Method for Combining Diarization Outputs

4. Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks;landini;Comput Speech Lang,2021

5. Speech Processing for Digital Home Assistants: Combining Signal Processing With Deep-Learning Techniques

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