Comparing human and automated speaker recognition in case of imitated speech

Abstract

The voice of each speaker is unique, which means that speaker identification based on voice is possible, but there are no reliable methods for that, yet. The reason is that the voice of a speaker can vary a lot and that different voices can sometimes sound quite similar. The aim of this research is to determine which features are the most important to humans for speaker identification, as well as features which the automated speaker recognition system relies on.

Related Papers

• → Hierarchical speaker identification using speaker clustering(2004)24 cited
• Integrating Speaker Identification and Learning with Adaptive Speech Recognition(2004)
• → Speaker Segmentation and Adaptation for Speech Recognition on Multiple-Speaker Audio Conference Data(2007)6 cited
• → Some experiments on HMM speaker adaptation(2005)3 cited
• → Comparing human and automated speaker recognition in case of imitated speech(2015)