Neural Networks for Compressing and Classifying Speaker-Independent Paralinguistic Signals

Seokhyun Byun
Seokhyun Byun

BigComp, pp. 1-4, 2019.

Cited by: 0|Bibtex|Views10|DOI:https://doi.org/10.1109/BIGCOMP.2019.8679115
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Recognizing and classifying paralinguistic signals, with its various applications, is an important problem. In general, this task is considered challenging because the sound information from the signals is difficult to distinguish even by humans. Thus, analyzing signals with machine learning techniques is a reasonable approach to understa...More

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