Human hearing modelling real-time spectrography for visual feedback in singing training.

Abstract

The traditional form of spectrography employed for speech analysis makes use of fixed bandwidth bandpass filters, which are usually set either to wide-band or narrow-band to optimise the time and frequency resolution of the resulting spectrogram respectively. The acoustic analysis carried out by the human ear can be modelled as a bank of bandpass filters whose bandwidth changes as a function of centre frequency, and therefore the time and frequency resolution varies with frequency. This paper describes a spectrographic analysis technique that is based on peripheral human hearing and considers its potential for application within a real-time visual display for singing training by comparing its output with traditional wide- and narrow-band spectrograms. The potential advantages and disadvantages of hearing modelling spectrography for this application are illustrated and discussed for a selection of sung material, some of which has been recorded during singing lessons where traditional spectrography is being employed.