Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker
Verification

Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification

2 March 2023

Xuechen Liu

Papers citing "Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification"

16 / 16 papers shown

Title
Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification Qingjian Lin Lin Yang Xuyang Wang Xiaoyi Qin Junjie Wang Ming Li 42 21 0 09 Oct 2021
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation Po-Han Chi Pei-Hung Chung Tsung-Han Wu Chun-Cheng Hsieh Yen-Hao Chen Shang-Wen Li Hung-yi Lee SSL 36 147 0 18 May 2020
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification Brecht Desplanques Jenthe Thienpondt Kris Demuynck 72 1,328 0 14 May 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 100 466 0 31 Mar 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 129 18,058 0 28 May 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 150 4,970 0 30 Jul 2018
Attentive Statistics Pooling for Deep Speaker Embedding K. Okabe Takafumi Koshinaka Koichi Shinoda 87 530 0 29 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 169 19,204 0 13 Jan 2018
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 196 2,521 0 19 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 132 6,850 0 04 Jul 2017
VoxCeleb: a large-scale speaker identification dataset Arsha Nagrani Joon Son Chung Andrew Zisserman 117 2,273 0 26 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,781 0 17 Apr 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 231 8,821 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 283 6,660 0 08 Jun 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 61 883 0 19 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 274 3,870 0 19 Dec 2014