CAJ | 학술논문

湿地不但具有丰富的资源，还有巨大的环境调节功能和生态效益.随着人类社会的发展，湿地生态保护日益受到人们的重视，其中鸟类监测经常作为湿地环境质量的有效指标.目前国内外对于鸟类监测技术主要通过大量人力统计手段，严重浪费宝贵的人力资源.基于此种状况，且传统的语音识别方法主要采用基于时域特征或频域特征的识别方法，根据不同种鸟类鸣声的特点，提出一种将不同音节长度特征与多段式平均频谱法相结合的多维特征联合的鸟类鸣声识别方法.实验结果发现，将时域音节长度特征分类与频域多段式平均频谱法相结合的识别方法比只采用多段式平均频谱法的识别方法将辨识正确率由92.38%提高到100%，实验采用了湿地常见的17种鸟类，辨识效果非常准确，表明本文所提出的多特征结合识别方法对于提高识别正确率具有重要的参考价值.
습지불단구유봉부적자원，환유거대적배경조절공능화생태효익.수착인류사회적발전，습지생태보호일익수도인문적중시，기중조류감측경상작위습지배경질량적유효지표.목전국내외대우조류감측기술주요통과대량인력통계수단，엄중낭비보귀적인력자원.기우차충상황，차전통적어음식별방법주요채용기우시역특정혹빈역특정적식별방법，근거불동충조류명성적특점，제출일충장불동음절장도특정여다단식평균빈보법상결합적다유특정연합적조류명성식별방법.실험결과발현，장시역음절장도특정분류여빈역다단식평균빈보법상결합적식별방법비지채용다단식평균빈보법적식별방법장변식정학솔유92.38%제고도100%，실험채용료습지상견적17충조류，변식효과비상준학，표명본문소제출적다특정결합식별방법대우제고식별정학솔구유중요적삼고개치.
Wetland has rich resources,huge environmental regulation function and ecological benefit.With the development of human society,the problem of wetland ecological protection is being paid more and more attention, bird monitoring is often used as an effective indicator for the evaluation of wetlands’environmental quality.At home and abroad,bird monitoring technology mainly takes a large number of manpower statistics method,and this leads to a serious waste of valuabale human resources.Based on this condition,the traditional method of speech recognition took the method of exacting the time domain characteristics or the frequency domain characteristics,and according to the characteristics of bird call,this paper presents a method which combining the syllables’length and multi segment average spectrum.The experimental result shows that comparing the method of combining characteristics of syllable length and multi segment average spectrum with the method of using only characteristic of multi segment average spectrum,the recognition rate is increased from 92.38% to 100%,the experiment adopted 17 kinds of common wetland birds,the identification effect is very accurate which indicates that the multi feature recognition method proposed in this paper has an important reference value for improving the accuracy of recognition.