Extracting deep neural network bottleneck features using low-rank matrix factorization - researchr publication

researchr

You are not signed in
Sign in
Sign up

Yu Zhang, Ekapol Chuangsuwanich, James R. Glass. Extracting deep neural network bottleneck features using low-rank matrix factorization. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014. pages 185-189, IEEE, 2014. [doi]

Abstract is missing.

runs on WebDSL