Objective Audio Quality Assessment Based on Spectro-Temporal Modulation Analysis
Ziyuan Guo · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2011
Objective audio quality assessment is an interdisciplinary research area that incorporates audiology and machine learning. Although much work has been made on the machine learning aspect, the audiology aspect also deserves investigation. This thesis proposes a non-intrusive audio quality assessment algorithm, which is based on an auditory model that simulates human auditory system. The auditory model is based on spectro-temporal modulation analysis of spectrogram, which has been proven to be effective in predicting the neural activities of human auditory cortex. The performance of an implementation of the algorithm shows the effectiveness of the spectro-temporal modulation analysis in audio quality assessment.