Speaker identification features extraction methods: A systematic review

作者：

Highlights：

• A systematic review on feature extraction methods from 2011 to 2016 is presented.

• The review was conducted according to Kitchenham SLR.

• Results indicate pure MFCCs approaches have been used more than any other approach.

• Other MFCC variations have proven to be very popular as well.

• The current SI trend is identified as developing a robust universal SI framework.

摘要

•A systematic review on feature extraction methods from 2011 to 2016 is presented.•The review was conducted according to Kitchenham SLR.•Results indicate pure MFCCs approaches have been used more than any other approach.•Other MFCC variations have proven to be very popular as well.•The current SI trend is identified as developing a robust universal SI framework.

论文关键词：Feature extraction,Kitchenham systematic review,MFCC,Speaker identification,Speaker recognition

论文评审过程：Received 12 May 2017, Revised 4 August 2017, Accepted 6 August 2017, Available online 16 August 2017, Version of Record 23 August 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.015