We propose new algorithms for estimating autoregressive (AR), moving average (MA), and ARMA models in the spectral domain. These algorithms are derived from a maximum likelihood a...
A limitation of most speech recognizers is that they only recognize words from a fixed vocabulary. In this paper, we explore a technique for addressing this deficiency using aut...
Highly interactive real-time music applications like network music performance (NMP) currently lack appropriate audio codecs that meet both demands for low delay and high audio qu...
In this paper, we present an automatic motherese detection system for the study of parent-infant interaction analysis. Motherese is a speech register directed towards infants and ...
One of the biggest challenges in speaker recognition is dealing with speaker-emotion variability. The basic problem is how to train the emotion GMMs of the speakers from their neu...