@techreport{TD:101066,
	att_abstract={{Accurate estimation of the instantaneous frequency of speech res-
onances is a hard problem mainly due to phase discontinuities in
the speech signal associated with excitation instants. We review a
variety of approaches for enhanced frequency and bandwidth esti-
mation in the time-domain and propose a new cognitively motivated
approach using filterbank arrays. We show that by filtering speech
resonances using filters of different center frequency, bandwidth and
shape, the ambiguity in instantaneous frequency estimation associ-
ated with amplitude envelope minima and phase discontinuities can be significantly reduced. The novel estimators are shown to perform well on synthetic speech signals with frequency and bandwidth micro-modulations (i.e., modulations within a pitch period), as well as on real speech signals. Filterbank arrays, when applied to frequency and bandwidth modulation index estimation, are shown to reduce the estimation error variance by 85% and 70% respectively.}},
	att_authors={dd734j},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={speech analysis,  time-frequency analysis,  filterbank arrays,  instantaneous frequency,  micro-modulations},
	att_techdoc={true},
	att_techdoc_key={TD:101066},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:101066_DS1_2012-12-04T17:01:51.271Z.pdf},
	author={Dimitrios Dimitriadis and Pirros Tsiakoulis, Engineering Department, University of Cambridge and Alexandros Potamianos, Department of ECE},
	institution={{38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE}},
	month={May},
	title={{INSTANTANEOUS FREQUENCY AND BANDWIDTH ESTIMATION USING FILTERBANK ARRAYS}},
	year=2013,
}