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Decomposition and Reorganization of Phonetic Information for Speaker Embedding Learning

  • Published:2023 Issue: Volume:31 Page:1745-1757
  • 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:

Hong Qian-Bei1ORCID,Wu Chung-Hsien2ORCID,Wang Hsin-Min3ORCID

Affiliation:

1. Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan

2. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

3. Institute of Information Science, Academia Sinica, Taipei, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Reference69 articles.

1. X-Vectors: Robust DNN Embeddings for Speaker Recognition

2. Visualizing data using t-SNE;maaten;J Mach Learn Res,2008

3. Deep neural network embeddings for text-independent speaker verification;snyder;Proc Annu Conf Int Speech Commun Assoc INTERSPEECH,2017

4. Comparison of speaker recognition approaches for real applications

5. Time delay deep neural network-based universal background models for speaker recognition

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spoken Language Identification Using Rhythmic Categorization: Syllable-Timed and Stress-Timed;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. Introducing Multilingual Phonetic Information to Speaker Embedding for Speaker Verification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Leveraging ASR Pretrained Conformers for Speaker Verification Through Transfer Learning and Knowledge Distillation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
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