翻訳と辞書 |
Cepstral Mean and Variance Normalization : ウィキペディア英語版 | Cepstral Mean and Variance Normalization
Cepstral Mean and Variance Normalization (CMVN) is a computationally efficient normalization technique for robust speech recognition. The performance of CMVN is known to degrade for short utterances. This is due to insufficient data for parameter estimation and loss of discriminable information as all utterances are forced to have zero mean and unit variance.〔Prasad, N.V, Umesh, S. "Improved cepstral mean and variance normalization using Bayesian framework", IEEE, 2013, Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on, pp. 156-161, doi:10.1109/ASRU.2013.6707722〕 ==References==
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Cepstral Mean and Variance Normalization」の詳細全文を読む
スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース |
Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.
|
|