Multi-View Self-Attention Based Transformer for Speaker Recognition-Reference-Cited by-同舟云学术

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Multi-View Self-Attention Based Transformer for Speaker Recognition

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
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Author:

Wang Rui¹,Ao Junyi²,Zhou Long³,Liu Shujie³,Wei Zhihua¹,Ko Tom²,Li Qing⁴,Zhang Yu²

Affiliation:

1. Tongji University,Department of Computer Science and Technology

2. Southern University of Science and Technology,Department of Computer Science and Engineering

3. Microsoft Research Asia

4. The Hong Kong Polytechnic University,Department of Computing

Funder

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746639.pdf?arnumber=9746639

Reference31 articles.

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

2. Audio augmentation for speech recognition

3. Utterance-level Aggregation for Speaker Recognition in the Wild

4. Delving into VoxCeleb: Environment Invariant Speaker Recognition

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

Cited by 27 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. An optimized attention based hybrid deep learning framework for automatic speaker identification from speech signals;Multimedia Tools and Applications;2024-08-23

2. MEConformer: Highly representative embedding extractor for speaker verification via incorporating selective convolution into deep speaker encoder;Expert Systems with Applications;2024-06

3. Speaker recognition with global information modelling of raw waveforms;Journal of Membrane Computing;2024-03

4. Multimodal pre-train then transfer learning approach for speaker recognition;Multimedia Tools and Applications;2024-02-26

5. Spatio-temporal representation learning enhanced source cell-phone recognition from speech recordings;Journal of Information Security and Applications;2024-02

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