DT-SV: A Transformer-based Time-domain Approach for Speaker Verification

Author:

Zhang Nan1,Wang Jianzong1,Hong Zhenhou1,Zhao Chendong1,Qu Xiaoyang1,Xiao Jing1

Affiliation:

1. Ping An Technology (Shenzhen) Co., Ltd.,Shenzhen,China

Funder

Key Research and Development Program of Guangdong Province

Publisher

IEEE

Reference39 articles.

1. ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform

2. Raw-x-vector: Multi-scale time domain speaker embedding network;zhu;ArXiv Preprint,2020

3. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

4. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

5. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014

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. Improving Transformer-Based Networks with Locality for Automatic Speaker Verification;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

2. Max-Pooling Based Self-Attention with Transformer for Speaker Verification;2023 7th International Conference on Machine Vision and Information Technology (CMVIT);2023-03

3. Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition;2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA);2022-10-13

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