Automatic Detection and Recognition of Tonal Bird Sounds in Noisy Environments
Automatic Detection and Recognition of Tonal Bird Sounds in Noisy Environments
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DOI：
10.1155/2011/982936
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发表时间：
2011-01-01
影响因子：
1.9
通讯作者：
Koekueer, Muenevver
中科院分区：
文献类型：
--
作者：
Jancovic, Peter;Koekueer, Muenevver
本文提出了在噪声环境中自动检测和识别音调鸟声的研究。包含鸟类音调发声的频谱时间区域的检测基于利用频谱形状来识别短时频谱中的正弦分量。该检测方法提供基于音调的特征表示，用于自动鸟类识别。该识别系统使用高斯混合模型对 95 种鸟类产生的 165 个不同的鸟类音节进行建模。采用标准模型以及补偿噪声影响的模型。对被白噪声和现实环境噪声破坏的鸟类录音进行了实验。所提出的检测方法对鸟类音调成分具有较高的检测精度。所采用的基于音调的特征显示识别精度比梅尔频率倒谱系数显着提高，
This paper presents a study of automatic detection and recognition of tonal bird sounds in noisy environments. The detection of spectro-temporal regions containing bird tonal vocalisations is based on exploiting the spectral shape to identify sinusoidal components in the short-time spectrum. The detection method provides tonal-based feature representation that is employed for automatic bird recognition. The recognition system uses Gaussian mixture models to model 165 different bird syllables, produced by 95 bird species. Standard models, as well as models compensating for the effect of the noise, are employed. Experiments are performed on bird sound recordings corrupted by White noise and real-world environmental noise. The proposed detection method shows high detection accuracy of bird tonal components. The employed tonal-based features show significant recognition accuracy improvements over the Mel-frequency cepstral coefficients,