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Summary & Details

Creation of comfortable sounds from various natural sounds by using deep learning and non-negative matrix factorization and its validity study

深層学習と非負値行列因子分解を用いた自然環境音からの快適音創生とその有効性検討

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20224121

Paper/Info type: Symposium Text

No.19-21

Pages: 1-30(Total 30 p)

Date of publication: Feb 2022

Publisher: JSAE

Language: Japanese

Event: JSAE Symposium 2021

Detailed Information

Category(J)	PPT資料 Translation
Category(E)	PPT slides
Author(J)	1) 星野　博之
Author(E)	1) Hiroyuki Hoshino
Affiliation(J)	1) 愛知工業大学
Affiliation(E)	1) Aichi Institute of Technology
Abstract(J)	本研究の目的は、運転中等の作業環境での人の状態を適切かつ快適に保つための音刺激を自然環境音から探索、創生することである。多数の自然環境音のスペクトログラムと快適さ主観値を深層学習によりモデル化し、非負値行列因子分解で生成した自然環境音の部分音の快適さ推定を行って快適音を探索する手法について述べる。 Translation

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