音声了解度の客観推定に用いる騒音クラスタリングとその性能評価

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/02/01

タイトル(英語): Performance Evaluation of an Ambient Noise Clustering Method for Objective Speech Intelligibility Estimate

著者名: 小林　洋介（山形大学大学院理工学研究科），近藤　和弘（山形大学大学院理工学研究科）

著者名(英語): Yosuke Kobayashi (Yamagata University), Kazuhiro Kondo (Yamagata University)

キーワード: 音声了解度試験，騒音，騒音クラスタリング，主観評価法　　speech intelligibility，ambient noise，noise clustering，subjective test

要約(英語): We investigated the clustering of non-stationary noise used in the subjective and objective assessment of speech intelligibility. The feature vector used in the clustering comprises 15-dimensional features used typically in MIR and clustering was done using the x-means method. We then conducted tests to validate the clustering results using the Japanese Diagnostic Rhyme Test. As a result, with the JEIDA-NOISE database, the noise can be classified into three clusters, and significant difference between speech intelligibility of each cluster was seen. Finally, we tested the objective speech intelligibility assessment for each cluster using the fwSNRseg and the logistic function. As a result, the performance of objective assessment improved by about 0.01 compared to the case without clustering.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.2 （2013） 特集：省電力時代の電子回路技術

本誌掲載ページ: 380-387 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/2/133_380/_article/-char/ja/