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  1. 124 情報理工学系研究科
  2. 40 電子情報学専攻
  3. 1244025 修士論文(電子情報学専攻)
  1. 0 資料タイプ別
  2. 20 学位論文
  3. 025 修士論文

An adaptive Speech Denoising System based on ICA with Voice Activity Detection

http://hdl.handle.net/2261/28819
051f087f-8190-4551-a356-5cc8c023edfe
名前 / ファイル ライセンス アクション
48066457.pdf 48066457.pdf (561.8 kB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2011-08-08
タイトル
タイトル An adaptive Speech Denoising System based on ICA with Voice Activity Detection
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_46ec
タイプ thesis
その他のタイトル
その他のタイトル 独立成分分析と音声区間検出による雑音除去
著者 Ferreira, Rebordao Antonio Rui

× Ferreira, Rebordao Antonio Rui

WEKO 5769

Ferreira, Rebordao Antonio Rui

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著者別名
識別子
識別子 5770
識別子Scheme WEKO
姓名
姓名 レボルダオ, アントニオ
著者所属
著者所属 大学院情報理工学系研究科電子情報学専攻
著者所属
著者所属 Graduate School of Information Science and Technology Department of Information and Communication Engineering The University of Tokyo
Abstract
内容記述タイプ Abstract
内容記述 This contribution presents an innovative system for adaptive speech denoising using Independent Component Analysis (ICA) and Voice Activity Detection (VAD) in low dB-SNR environments. The implemented experiments consider instantaneous mixtures (two sources and two microphones) where the proposed system identifies the noise contained in each noisy mixture, applies the most suitable block ICA method among 3 methods (FastICA, Kernel ICA and JADE) and, after source separation, automatically identifies the estimated speech signal. The ICA suitability is in accordance with the detected noise, the signal mixtures are non-linear and the proposed system extracts information that can be used for further pre and/or postprocessing and for improving the block ICA’s output. The process is completely automatic from the source recording to its output and such system has a wide range of applications and significant potential over the conventional approaches.
書誌情報 発行日 2008-03
日本十進分類法
主題 548
主題Scheme NDC
学位名
学位名 修士(情報理工学)
学位
値 master
研究科・専攻
情報理工学系研究科電子情報学専攻
学位授与年月日
学位授与年月日 2008-03-24
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