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A MULTIMODAL APPROACH TO EXTRACT OPTIMIZED AUDIO FEATURES FOR SPEAKER DETECTION

机译：提取最佳音频特征以进行扬声器检测的多模态方法

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作者
Besson Patricia; Kunt M.; Butz Torsten; Thiran Jean-Philippe;
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年度 2005
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专利

1. Extraction of Audio Features Specific to Speech Production for Multimodal Speaker Detection [J] . Besson P., Popovici V., Vesin J.-M., IEEE transactions on multimedia . 2008,第1期

机译：提取特定于语音产生的音频特征以用于多模式说话者检测
2. An Efficient Speaker Diarization using Privacy Preserving Audio Features Based of Speech/Non Speech Detection [J] . S.Sathyapriya, A.Indhumathi International Journal of Computer Trends and Technology . 2014,第4期

机译：基于语音/非语音检测的使用隐私保护音频功能的有效说话人区分
3. Using multi-stream hierarchical deep neural network to extract deep audio feature for acoustic event detection [J] . Li Yanxiong, Zhang Xue, Jin Hai, Multimedia Tools and Applications . 2018,第1期

机译：使用多流分层深度神经网络提取深度音频特征以进行声音事件检测
4. A multimodal approach to extract optimized audio features for speaker detection [C] . Besson Patricia, Kunt Murat, Butz Torsten, European Signal Processing Conference . 2005

机译：一种多峰方法，用于提取优化的音频特征以进行说话者检测
5. A novel approach in the detection of obstructive sleep apnea from electrocardiogram signals using neural network classification of textural features extracted from time-frequency plots. [D] . Al-Abed, Mohammad Ahmad. 2006

机译：一种使用从时频图提取的纹理特征的神经网络分类从心电图信号中检测阻塞性睡眠呼吸暂停的新方法。
6. Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach [O] . Lal Hussain 2018

机译：通过使用先进的参数优化方法使用强大的机器学习分类技术以不同的特征提取策略检测癫痫发作
7. Extraction of audio features specific to speech production for multimodal speaker detection [O] . Patricia Besson, Vlad Popovici, Jean-marc Vesin, 2008

机译：提取特定于语音生成的音频特征，用于多模式扬声器检测

A MULTIMODAL APPROACH TO EXTRACT OPTIMIZED AUDIO FEATURES FOR SPEAKER DETECTION

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