3 accepted papers
We propose a novel beamformer design method that exploits probabilistic assumptions on auxiliary variables derived from filters and observed signals. Many conventional beamformer design methods can be understood in the context of optimization problems for some probabilistic cost functions. However,…
The importance of extracting non-linguistic information has been highlighted in a growing variety of applications of speech signal processing. Among the audio features carrying such information, fundamental frequency (F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.o…
An important challenge in speech processing involves extracting non-linguistic information from a fundamental frequency (F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> ) contour of speech. We propose a fast algorithm for estimating the model…