%0 Journal Article %T Noise Adaptive Multi-stream Hybrid Sub-band Approach for Robust Speech Recognition
噪声自适应的多数据流复合子带语音识别方法 %A Zhang Jun %A Wei Gang %A
张 军 %A 韦 岗 %J 电子与信息学报 %D 2006 %I %X This paper first proposes a new method for evaluating the reliability of cepstral components and extends the marginalisation technique to cepstral recognizers. Then a noise adaptive multi-stream hybrid sub-band approach is proposed for robust speech recognition by making use of the complemental performances between full-band and sub-band cepstral marginalisation recognizers in different noises. Experimental results show that the proposed approach can turn to the less distorted data stream automatically and improve the robustness of the speech recognizer in various noisy environments effectively. %K Speech recognition %K Missing data %K Marginalisation %K Multi-stream %K Hybrid sub-band
语音识别 %K 丢失数据 %K 边缘化 %K 多数据流 %K 复合子带 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=09C19194FFA94EA5&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=DF92D298D3FF1E6E&sid=05FAA4D00F9315BD&eid=F61A98B4CFAD5F2A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=3&reference_num=9