Abstract:
Speech activated interface between human
and autonomous/semi-autonomous systems requires
accurate voice detection and recognition. In this area pitch
and end-point detection is of vital importance. This paper
presents a new method for pitch detection based on the
phase of the continuous wavelet transform. The advantage
of the proposed technique is that it can serve not only as an
accurate pitch detector, hut also can offer an efficient
solution to the end-paint detection problem. Experimental
results are provided for the detection of pitch periods and
end points in a neural-network based voice enabled
wheelchair system.
