Spectrograms of speech and music contain distinct striation patterns. Traditional features
represent various properties of the audio signal but do not necessarily capture such …

The aim of this thesis is to provide guidance and information that will assist forensic speech
scientists, and phoneticians generally, in making more accurate formant measurements …

In this paper we present a hierarchical framework for the extraction of spectro-temporal
acoustic features. The design of the features targets higher robustness in dynamic …

We address the problem of robust formant tracking in continuous speech in the presence of
additive noise. We propose a new approach based on mixture modeling of the formant …

This chapter gives an overview of the methods for speech and music analysis implemented
by the author in the openSMILE toolkit. The methods described, include all the relevant …

In this paper, we propose a method to synthesize the natural variations of spectral envelope
as intensity varies in singing voice. To this end, we propose a parametric model of spectral …

The aim of the present work is to perform a step towards more natural pitch shifting
techniques in singing voice for its application in music production and entertainment …

Dynamic neural fields are recurrent neural networks which aim at modeling cortical activity
evolution both in space and time. A self-organized formation of these fields has been rarely …

Abstract Gender (Male/Female) classification plays a primary vital role to develop a robust
Automatic Tamil Speech Recognition (ASR) applications due to the diversity in the vocal …

In this paper, we propose a robust spectral representation for detecting formants in heavily
degraded conditions. The method combines the temporal robustness of the stabilized …