For accuracy and rapidity of audio event detection in the mass-data audio pro- cessing tasks, a generic method of rapidly recognizing audio event based on 2D-Haar acoustic super feature vector and AdaBoost is proposed...For accuracy and rapidity of audio event detection in the mass-data audio pro- cessing tasks, a generic method of rapidly recognizing audio event based on 2D-Haar acoustic super feature vector and AdaBoost is proposed. Firstly, it combines certain number of con- tinuous audio frames to be an ＂acoustic feature image＂, secondly, uses AdaBoost.MH or fast Random AdaBoost feature selection algorithm to select high representative 2D-Haar pattern combinations to construct super feature vectors; thirdly, analyzes the commonality and differ- ences between subcategories, then extracts common features and reduces different features to obtain a generic audio event template, which can support the accurate identification of multi- ple sub-classes and detect and locate the specific audio event from the audio stream accurately. Experimental results show that the use of 2D-Haar acoustic feature super vector can make recog- nition accuracy 5% higher than ones that MFCC, PLP, LPCC and other traditional acoustic features yielded, and can make tile training processing 7 20 times faster and the recognition processing 5-10 times faster, it can even achieve an average precision of 93.38%, an average recall of 95.03% under the optimal parameter configuration found by grid method. Above all, it can provide an accurate and fast mass-data processing method for audio event detection.展开更多
目的分析2型神经纤维瘤病(neurofibromatosis type 2,NF2)负性生长颅内肿瘤的临床特点。方法回顾性分析70例NF2病人的临床影像资料,构建颅内肿瘤三维模型,计算相对年生长率,分析负性生长肿瘤的临床特点。结果70例NF2病人中颅内肿瘤共计...目的分析2型神经纤维瘤病(neurofibromatosis type 2,NF2)负性生长颅内肿瘤的临床特点。方法回顾性分析70例NF2病人的临床影像资料,构建颅内肿瘤三维模型,计算相对年生长率,分析负性生长肿瘤的临床特点。结果70例NF2病人中颅内肿瘤共计213个,其中负性生长21个(9.9%),分布于18例成年病人中。与非负性生长组比较,负性生长组病人年龄偏大(P=0.020),脑膜瘤数目偏多(P=0.046);脑表面和脑室内脑膜瘤数目在负性生长组与非负性生长组间均有明显差异(P<0.05)。而在NF2脑膜瘤病人中,负性生长与非负性生长脑膜瘤病人男女比例存在显著差异(P=0.049)。结论NF2负性生长颅内肿瘤较为常见,且肿瘤负性生长在年龄较大的病人中多见,在儿童病人中罕见。负性生长脑膜瘤在女性NF2病人中较为常见。NF2脑膜瘤数目、部位可对肿瘤负性生长有影响。展开更多
文摘For accuracy and rapidity of audio event detection in the mass-data audio pro- cessing tasks, a generic method of rapidly recognizing audio event based on 2D-Haar acoustic super feature vector and AdaBoost is proposed. Firstly, it combines certain number of con- tinuous audio frames to be an ＂acoustic feature image＂, secondly, uses AdaBoost.MH or fast Random AdaBoost feature selection algorithm to select high representative 2D-Haar pattern combinations to construct super feature vectors; thirdly, analyzes the commonality and differ- ences between subcategories, then extracts common features and reduces different features to obtain a generic audio event template, which can support the accurate identification of multi- ple sub-classes and detect and locate the specific audio event from the audio stream accurately. Experimental results show that the use of 2D-Haar acoustic feature super vector can make recog- nition accuracy 5% higher than ones that MFCC, PLP, LPCC and other traditional acoustic features yielded, and can make tile training processing 7 20 times faster and the recognition processing 5-10 times faster, it can even achieve an average precision of 93.38%, an average recall of 95.03% under the optimal parameter configuration found by grid method. Above all, it can provide an accurate and fast mass-data processing method for audio event detection.
文摘目的分析2型神经纤维瘤病(neurofibromatosis type 2,NF2)负性生长颅内肿瘤的临床特点。方法回顾性分析70例NF2病人的临床影像资料,构建颅内肿瘤三维模型,计算相对年生长率,分析负性生长肿瘤的临床特点。结果70例NF2病人中颅内肿瘤共计213个,其中负性生长21个(9.9%),分布于18例成年病人中。与非负性生长组比较,负性生长组病人年龄偏大(P=0.020),脑膜瘤数目偏多(P=0.046);脑表面和脑室内脑膜瘤数目在负性生长组与非负性生长组间均有明显差异(P<0.05)。而在NF2脑膜瘤病人中,负性生长与非负性生长脑膜瘤病人男女比例存在显著差异(P=0.049)。结论NF2负性生长颅内肿瘤较为常见,且肿瘤负性生长在年龄较大的病人中多见,在儿童病人中罕见。负性生长脑膜瘤在女性NF2病人中较为常见。NF2脑膜瘤数目、部位可对肿瘤负性生长有影响。
