Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing

被引：4

作者：

Purwins, Hendrik ^{[1
]}

Sturm, Bob ^{[2
]}

Li, Bo ^{[3
]}

Nam, Juhan ^{[4
]}

Alwan, Abeer ^{[5
]}

机构：

[1] Aalborg Univ, Fac IT & Design, Dept Architecture Design & Media Technol, DK-2450 Copenhagen, Denmark

[2] Royal Inst Technol KTH, Sch Elect Engn & Comp Sci, Div Speech Mus & Hearing, S-11428 Stockholm, Sweden

[3] Google Inc, Mountain View, CA 94043 USA

[4] Korea Adv Inst Sci & Technol, Grad Sch Culture Technol, Daejeon 34141, South Korea

[5] Univ Calif Los Angeles, Speech Proc & Auditory Percept Lab, Elect & Comp Engn, Los Angeles, CA 90095 USA

来源：

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | 2019年 / 13卷 / 02期

关键词：

D O I：

10.1109/JSTSP.2019.2914321

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The papers in this special section focus on audio signal processing which is currently undergoing a paradigm change, where data-driven machine learning is replacing hand-crafted feature design. These papers aim to promote progress, systematization, understanding, and convergence of applying machine learning in the area of audio signal processing. Specifically, this issue is focused on work that demonstrates novel applications of machine learning techniques in the area of sound, speech and music signal processing, as well as methodological considerations of merging machine learning with audio signal processing. © 2007-2012 IEEE.

引用

页码：203 / 205

页数：3

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