On the Fusion of Dissimilarity-Based Classifiers for Speaker Identification

机译：基于相似度的分类器融合在说话人识别中的应用

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In this work, we describe a speaker identification system that uses multiple supplementary information sources for computing a combined match score for the unknown speaker. Each speaker profile in the database consists of multiple feature vector sets that can vary in their scale, dimensionality, and the number of vectors. The evidence from a given feature set is weighted by its reliability that is set in a priori fashion. The confidence of the identification result is also estimated. The system is evaluated with a corpus of 110 Finnish speakers. The evaluated feature sets include mel-cepstrum, LPC-cepstrum, dynamic cepstrum, long-term averaged spectrum of /A/ vowel, and F0.

机译：在这项工作中，我们描述了一个说话人识别系统，该系统使用多个补充信息源来计算未知说话人的组合匹配分数。数据库中的每个说话者资料均由多个特征向量集组成，这些向量集的规模，维数和向量数可以不同。给定功能集的证据将以先验方式设置的可靠性加权。识别结果的置信度也被估计。该系统由110名芬兰讲者组成的语料库进行评估。评估的功能集包括mel倒频谱，LPC倒频谱，动态倒频谱，/ A /元音的长期平均频谱和F0。

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来源
《European Conference on Speech Communication and Technology - EUROSPEECH 2003(INTERSPEECH 2003) vol.4; 20030901-04; Geneva(CH)》|2003年|P.2641-2644|共4页
会议地点 Geneva(CH)
作者
Tomi Kinnunen; Ville Hautamaeki; Past Fraenti;
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Department of Computer Science University of Joensuu, Finland;

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原文格式 PDF
正文语种 eng
中图分类自动信息理论;
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2. Sparse Classifier Fusion for Speaker Verification [J] . Hautamaki V., Kinnunen T., Sedlak F., Audio, Speech, and Language Processing, IEEE Transactions on . 2013,第8期

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3. Speaker Discrimination on Broadcast News and Telephonic Calls Using a Fusion of Neural and Statistical Classifiers [J] . Siham Ouamour, Halirn Sayoud International journal of mobile computing and multimedia communications . 2009,第4期

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4. On the Fusion of Dissimilarity-Based Classifiers for Speaker Identification [C] . Tomi Kinnunen, Ville Hautamaeki, Past Fraenti, European Conference on Speech Communication and Technology . 2003

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On the Fusion of Dissimilarity-Based Classifiers for Speaker Identification

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