title: 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.
authors.affiliation: Media Engineering Research Group, Department of Electronics, University of York, York, UK.
authors.forename: David M
authors.initials: DM
authors.lastname: Howard
mesh_terms: D005246:Feedback; D006309:Hearing / Q000502:physiology*; D006801:Humans; D013018:Sound Spectrography / Q000379:methods*; D013061:Speech Acoustics; D014796:Visual Perception; D014831:Voice; D014834:Voice Training