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"

15 / 15 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 40 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 97 466 0 31 Mar 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 127 18,049 0 28 May 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 148 4,969 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 167 19,204 0 13 Jan 2018
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 194 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 130 6,850 0 04 Jul 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 227 8,821 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 279 6,657 0 08 Jun 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 58 883 0 19 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 264 3,870 0 19 Dec 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.