Investigation of a Method of Speech Signal Analysis Using Empirical Mode Decomposition and Its Applications
この論文をさがす
抄録
In recent years, a number of noise reduction methods based on empirical mode decomposition (EMD) have been proposed in the field of speech signal processing. However, these methods cannot effectively reduce noise components from noisy speech they lack useful prior knowledge related to the noise characteristics. Moreover, because they reduce only the higher frequency components of noise, the overall effect on noise reduction seems to be insufficient. Our aim was to develope a speech signal analysis method that can adequately analyze non-stationary speech signalsin time-frequency domains. We investigated the propertiesof an analysis method for non-stationary signals based on EMD and the characteristics of AM-FM representations in the intrinsic mode function (IMF) and have subsequently developed a method of noise reduction based on our investigations. Simulations were conducted to determine whether or not the proposed method can effectively reduce noise components from noisy speech. Results demonstrate that it can do so adequately.
identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/9509
収録刊行物
-
- Journal of Signal Processing
-
Journal of Signal Processing 14 (4), 273-276, 2010-07
Research Institute of Signal Processing Japan
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1050564287491695744
-
- NII論文ID
- 120002710164
-
- NII書誌ID
- AA11147833
-
- ISSN
- 13426230
-
- NDL書誌ID
- 10785721
-
- 本文言語コード
- en
-
- 資料種別
- journal article
-
- データソース種別
-
- IRDB
- NDL
- CiNii Articles