this is for holding javascript data
Martin Coath edited section_Introduction_The_textsc_skv__.tex
about 8 years ago
Commit id: 1db9f4b8bb0af44b775a421559e064d3065d3e42
deletions | additions
diff --git a/section_Introduction_The_textsc_skv__.tex b/section_Introduction_The_textsc_skv__.tex
index 33a8a4a..7c3d191 100644
--- a/section_Introduction_The_textsc_skv__.tex
+++ b/section_Introduction_The_textsc_skv__.tex
...
\section{Introduction}
The \textsc{skv} algorithm was introduced as a method of identifying onsets and offsets in a model of auditory signal processing \cite{Coath_2005}. It is also an integral part of a model of auditory feature extraction \cite{Denham_2005} \cite{Coath_2007} and exhibits a range of desirable properties, as well as some features that make it biophysically plausible. The method has subsequently been used in a range of contexts including auditory salience detection \cite{Kovacs_2015}, beat tracking \cite{Coath_2009}, and studies of infant speech production \cite{Warlaumont_2016}.
It has also been shown \cite{Kovacs_2013}
\ldots \textsc{ann} that the important features of the model can be captured in a artificial neural network (\textsc{ann}).