2011
DOI: 10.1109/tce.2011.6131171
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Sound source elevation using spectral notch filtering and directional band boosting in stereo loudspeaker reproduction

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Cited by 10 publications
(10 citation statements)
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“…This is in general agreement with the literature that states frequencies around 8 kHz are important for vertical localization in the front median plane [16,17]. A previous study [42] has shown that boosting a band around 8 kHz alone can increase the vertical elevation of a broadband signal, based on Blauert's boosted band hypothesis [33], so potentially it could also control the vertical extent of an image as well. However, there seems to be an inherent dominance of the heightchannel signal when presenting the 8 kHz octave-band signals in vertical stereophony.…”
Section: Practical Implicationssupporting
confidence: 91%
“…This is in general agreement with the literature that states frequencies around 8 kHz are important for vertical localization in the front median plane [16,17]. A previous study [42] has shown that boosting a band around 8 kHz alone can increase the vertical elevation of a broadband signal, based on Blauert's boosted band hypothesis [33], so potentially it could also control the vertical extent of an image as well. However, there seems to be an inherent dominance of the heightchannel signal when presenting the 8 kHz octave-band signals in vertical stereophony.…”
Section: Practical Implicationssupporting
confidence: 91%
“…From the delta spectrum for the upper loudspeaker it can be seen that the upper loudspeaker is most dominant over the lower at around 8000 Hz. Chun et al [28], presented musical sources and speech to subjects from stereophonic loudspeakers arranged on the horizontal plane. The test stimuli first underwent HRTF modeling, followed by spectral notch filtering, directional band boosting, or a combination of both.…”
Section: Practical Implications and Future Workmentioning
confidence: 99%
“…The results show that using the first three top predicted HRTF datasets out of 18, 80% of listeners are expected to find one of their favourite HRTF datasets when using the doublehidden-layer neural network. When the number of selected HRTF datasets reaches nine (taking Table 5 as an example, HRTF 16,18,17,7,6,5,11,8, and 4 are selected for Subject 1; taking Table 6 as an example, HRTF 4,16,18,7,10,12,14,6, and 11 are selected for Subject 2), the single-hidden-layer neural network is effective for 100% of population. When using the total error method (Zotkin et al, 2004), 15 HRTF datasets would be needed to be selected to satisfy all of the listeners.…”
Section: Resultsmentioning
confidence: 99%