A short utterance speaker recognition method with improved cepstrum–CNN

Abstract In this study, an improved cepstrum-convolutional neural network is proposed, which can solve the problem of low recognition accuracy of 1-s short utterance in speaker recognition technology. The audio feature Mel frequency cepstrum coefficient is extracted by using the improved cepstrum al...

詳細記述

書誌詳細
出版年:SN Applied Sciences
主要な著者: Yongfeng Li, Shuaishuai Chang, QingE Wu
フォーマット: 論文
言語:英語
出版事項: Springer 2022-11-01
主題:
オンライン・アクセス:https://doi.org/10.1007/s42452-022-05227-1