| dc.contributor | 資科系 | |
| dc.creator (作者) | Liao, Wen Hung;Wen, Jing Yao;Kuo, J.-H. | |
| dc.creator (作者) | 廖文宏;溫景堯 | zh_TW |
| dc.date (日期) | 2011 | |
| dc.date.accessioned | 26-Oct-2015 15:31:53 (UTC+8) | - |
| dc.date.available | 26-Oct-2015 15:31:53 (UTC+8) | - |
| dc.date.issued (上傳時間) | 26-Oct-2015 15:31:53 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/79042 | - |
| dc.description.abstract (摘要) | In this research, we develop and integrate methods for real-time streaming audio classification based on psychoacoustic models of hearing as well as techniques in pattern recognition. Specifically, a framework for auditory event detection and signal description by means of computer vision approach has been designed to enable real-time processing and classification of audio signals present in home environments. Local binary patterns are employed to describe the extracted sound blobs in the spectrogram. Experimental results show that the proposed approach is quite effective, achieving an overall recognition rate of 80-90% for 8 types of audio input. The performance degrades only slightly in the presence of noise and other interferences. © 2011 IEEE. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | 1st Asian Conference on Pattern Recognition, ACPR 2011 | |
| dc.subject (關鍵詞) | Audio classification; Bilateral filters; computational auditory analysis; Local binary patterns; Smart homes; Audition; Automation; Computer vision; Content based retrieval; Intelligent buildings; Audio acoustics | |
| dc.title (題名) | Streaming audio classification in Smart Home environments | |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/ACPR.2011.6166676 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/ACPR.2011.6166676 | |
