  There are three classical divergence measures known in the literature on
information theory and statistics. These are namely, Jeffryes-Kullback-Leiber
\cite{jef} \cite{kul} \textit{J-divergence}. Sibson-Burbea-Rao \cite{sib}
\cite{bur1, bur2} \textit{Jensen-Shannon divegernce}and Taneja \cite{tan3}
\textit{Arithemtic-Geometric divergence}. These three measures bears an
interesting relationship among each other. The divergence measures like
\textit{Hellinger discrimination}, \textit{symmetric}$\chi ^2 -
$\textit{divergence}, and \textit{triangular discrimination} are also known in
the literature. All these measures can be written as particular cases of
Csisz\'{a}r's \textit{f-divergence}. Recently, author proved an inequality
relating all the six measures. In this paper our aim is to give one parametric
generalizations of the above measures and established relationships among them.
A new measure similar to \textit{Hellinger's} and \textit{triangular
discriminations} is also derived.
