Lowbit Neural Network Quantization for Speaker Verification
Author:
Affiliation:
1. Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence, AI Institute X-LANCE Lab,Department of Computer Science and Engineering,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10192576/10192577/10193337.pdf?arnumber=10193337
Reference26 articles.
1. Towards Green ASR: Lossless 4-bit Quantization of a Hybrid TDNN System on the 300-hr Swithboard Corpus
2. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
3. Lowbit quantization of recurrent neural network language models using alternating direction methods of multipliers;xu;IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),2020
4. Xnornet: Imagenet classification using binary convolutional neural networks;rastegari;European Conference on Computer Vision,2016
5. Knowledge Distillation for Small Foot-print Deep Speaker Embedding
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