Multi-frame rate based multiple-model training for robust speaker identification of disguised voice
Swati Prasad, Zheng‐Hua Tan, Ramjee Prasad · VBN Forskningsportal (Aalborg Universitet) · 2013
Speaker identification systems are prone to attack when voice disguise is adopted by the user. To address this issue,our paper studies the effect of using different frame rates on the accuracy of the speaker identification system for disguised voice.In addition, a multi-frame rate based multiple-model training method is proposed. The experimental results show the superior performance of the proposed method compared to the commonly used single frame rate method for three types of disguised voice taken from the CHAINS corpus.