Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemic Analysis

Author:

Kim Seong-Hu1,Nam Hyeonuk1,Park Yong-Hwa1

Affiliation:

1. Korea Advanced Institute of Science and Technology,Department of Mechanical Engineering,Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning

Publisher

IEEE

Reference27 articles.

1. Adaptive Convolutional Kernels

2. Condconv: Conditionally parameterized convolutions for efficient inference;yang;Advances in neural information processing systems,2019

3. Dynamic convolution: Attention over convolution kernels;chen;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020

4. Knowing what to listen to: Early attention for deep speech representation learning;hajavi;arXiv preprint arXiv 2009 02026,2020

5. Adaptive Convolution for Text Classification

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3. Rethinking multi‐spatial information for transferable adversarial attacks on speaker recognition systems;CAAI Transactions on Intelligence Technology;2024-03-29

4. Lightweight Speaker Verification Using Transformation Module With Feature Partition and Fusion;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. Harmonic-Aware Frequency and Time Attention for Automatic Piano Transcription;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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