Enhancement and segregation specific person's speech based on human auditory scene analysis
碩士 === 國立陽明大學 === 醫學工程研究所 === 95 === There are several strategies to separate speech from noise. However,effective methods to solve multi speech’s sources problem remain elusive. The well-studied Cocktail party problem is to analyze and deal with multi speech’s sources signal. Here, we focus on a sp...
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ndltd-TW-095YM0055300302015-10-13T14:13:12Z http://ndltd.ncl.edu.tw/handle/39372178856500478948 Enhancement and segregation specific person's speech based on human auditory scene analysis 以語者聲訊特性強化語音訊息處理 Wei-Che Wu 吳瑋哲 碩士 國立陽明大學 醫學工程研究所 95 There are several strategies to separate speech from noise. However,effective methods to solve multi speech’s sources problem remain elusive. The well-studied Cocktail party problem is to analyze and deal with multi speech’s sources signal. Here, we focus on a specific speech source. By sing speaker recognition and speech recognition techniques extracting speakers’speech characteristics coupled with human auditory scene analysis, the speakers’speech characteristics can be determined more precisely and distinguished from one another. These observed differences can then be used for signal segregation and enhancement for specific speakers. Therefore, the users like children can enhance the receiving signal intensity form specific speech’s sources as their parents or teacher. Shuenn-Tsong Young 楊順聰 2007 學位論文 ; thesis 52 zh-TW |
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碩士 === 國立陽明大學 === 醫學工程研究所 === 95 === There are several strategies to separate speech from noise. However,effective methods to solve multi speech’s sources problem remain elusive. The well-studied Cocktail party problem is to analyze and deal with multi speech’s sources signal. Here, we focus on a specific speech source. By sing speaker recognition and speech recognition techniques extracting speakers’speech characteristics coupled with human auditory scene analysis, the speakers’speech characteristics can be determined more precisely and distinguished from one another. These observed differences can then be used for signal segregation and enhancement for
specific speakers. Therefore, the users like children can enhance the receiving signal intensity form specific speech’s sources as their parents or teacher.
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Shuenn-Tsong Young |
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Shuenn-Tsong Young Wei-Che Wu 吳瑋哲 |
author |
Wei-Che Wu 吳瑋哲 |
spellingShingle |
Wei-Che Wu 吳瑋哲 Enhancement and segregation specific person's speech based on human auditory scene analysis |
author_sort |
Wei-Che Wu |
title |
Enhancement and segregation specific person's speech based on human auditory scene analysis |
title_short |
Enhancement and segregation specific person's speech based on human auditory scene analysis |
title_full |
Enhancement and segregation specific person's speech based on human auditory scene analysis |
title_fullStr |
Enhancement and segregation specific person's speech based on human auditory scene analysis |
title_full_unstemmed |
Enhancement and segregation specific person's speech based on human auditory scene analysis |
title_sort |
enhancement and segregation specific person's speech based on human auditory scene analysis |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/39372178856500478948 |
work_keys_str_mv |
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