File Download
Supplementary
-
Citations:
- Appears in Collections:
Conference Paper: Neural network model of binaural hearing based on spatial feature extraction of the head related transfer function
Title | Neural network model of binaural hearing based on spatial feature extraction of the head related transfer function |
---|---|
Authors | |
Keywords | Spatial Hearing Feature Extraction Neural Networks |
Issue Date | 1998 |
Publisher | IEEE. |
Citation | The 20th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Hong Kong, China, 29 October - 1 November 1998, v. 3, p. 1109-1112 How to Cite? |
Abstract | In spatial hearing, complex valued head-related transfer function (HRTF) can be represented as a real valued head-related impulse response (HRIR). Using Karhunen-Loeve expansion, the spatial features of the normalized HRIRs on measurement space can be extracted as spatial character functions. A neural network model based on Von-Mises function is used to approximate the discrete spatial character function of HRIR. As a result, a time-domain binaural model is established and it fits the measured HRIRs well. |
Persistent Identifier | http://hdl.handle.net/10722/46119 |
ISSN | 2020 SCImago Journal Rankings: 0.282 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wu, ZY | en_HK |
dc.contributor.author | Weng, T | en_HK |
dc.contributor.author | Wang, WB | en_HK |
dc.contributor.author | Lo, TF | en_HK |
dc.contributor.author | Chan, FHY | en_HK |
dc.contributor.author | Lam, FK | en_HK |
dc.date.accessioned | 2007-10-30T06:42:56Z | - |
dc.date.available | 2007-10-30T06:42:56Z | - |
dc.date.issued | 1998 | en_HK |
dc.identifier.citation | The 20th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Hong Kong, China, 29 October - 1 November 1998, v. 3, p. 1109-1112 | en_HK |
dc.identifier.issn | 1557-170X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/46119 | - |
dc.description.abstract | In spatial hearing, complex valued head-related transfer function (HRTF) can be represented as a real valued head-related impulse response (HRIR). Using Karhunen-Loeve expansion, the spatial features of the normalized HRIRs on measurement space can be extracted as spatial character functions. A neural network model based on Von-Mises function is used to approximate the discrete spatial character function of HRIR. As a result, a time-domain binaural model is established and it fits the measured HRIRs well. | en_HK |
dc.format.extent | 254384 bytes | - |
dc.format.extent | 13817 bytes | - |
dc.format.extent | 8841 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.rights | ©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Spatial Hearing | en_HK |
dc.subject | Feature Extraction | en_HK |
dc.subject | Neural Networks | en_HK |
dc.title | Neural network model of binaural hearing based on spatial feature extraction of the head related transfer function | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1557-170X&volume=3&spage=1109&epage=1112&date=1998&atitle=Neural+network+model+of+binaural+hearing+based+on+spatial+feature+extraction+of+the+head+related+transfer+function | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/IEMBS.1998.747065 | en_HK |
dc.identifier.hkuros | 45231 | - |
dc.identifier.issnl | 1557-170X | - |