We present a method for morphing between smooth spectral magnitude envelopes of speech. An important element of our method is the notion of audio flow, which is inspired by similar notions of optical flow computed between images in computer vision applications. Audio flow defines the correspondence between two smooth spectral magnitude envelopes, and encodes the formant shifting that occurs fro...

The messa di voce (MDV) is a vocal exercise used by singers, consisting of a crescendo and decrescendo on a single sustained note. In this study we analysed recorded MDVs sung by tertiary singing students to examine the extent to which MDVs have a linear crescendo and linear decrescendo. The MDVs studied were recorded over a 3-year period, as a cohort of classical singing students progressed th...

Recently launched x-ray telescopes have discovered several candidate isolated neutron stars. The thermal radiation from these objects may potentially constrain our understanding of nuclear physics in a realm inaccessible to terrestrial experiments. To translate the observed fluxes from neutron stars into constraints, one needs precise calculations of the heat transfer through the thin insulatin...

This paper introduces a novel articulatory-acoustic mapping in which detailed spectral envelopes are estimated based on the cepstrum, inclusive of the high-quefrency elements which are discarded in conventional speech synthesis to eliminate the pitch component of speech. For this estimation, the method deals with the harmonics of multiple voiced-speech spectra so that several sets of harmonics ...

This paper reports on the analysis of the spectral variation of emotional speech. Spectral envelopes of time aligned speech frames are compared between emotionally neutral and active utterances. Statistics are computed over the resulting differential spectral envelopes for each phoneme. Finally, these statistics are classified using agglomerative hierarchical clustering and a measure of dissimi...

The forward search provides a series of robust parameter estimates based on increasing numbers of observations. The resulting series of robustMahalanobis distances is used to clustermultivariate normal data.Themethod depends on envelopes of the distribution of the test statistics in forward plots.These envelopes can be found by simulation; flexible polynomial approximations to the envelopes are...