Department of Computer Engineering2024-11-0920119781-4577-0539-71520-614910.1109/ICASSP.2011.59475032-s2.0-80051617282http://dx.doi.org/10.1109/ICASSP.2011.5947503https://hdl.handle.net/20.500.14288/12499We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-phone patterns of the narrowband and wideband speech signals using a parallel branch HMM structure. The joint sub-phone patterns define temporally correlated neighborhoods, in which a linear prediction filter estimates spectral features of the corresponding wideband signal from the narrowband signal. The proposed framework is compared to a benchmark vector quantization based artificial bandwidth extension algorithm. Performance evaluations are performed with three distinct objective metrics and a subjective A/B test. © 2011 IEEE.Computer engineeringConference proceedinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-80051617282anddoi=10.1109%2fICASSP.2011.5947503andpartnerID=40andmd5=3f8cf3d2f10c87e57039a47ecb1ba51f296062405176N/A2894