Real time speaker indexing based on subspace method - application to TV news articles and debate
Real time speaker indexing based on subspace method - application to TV news articles and debate
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基于子空间方法的实时说话人索引——在电视新闻文章和辩论中的应用
DOI：
10.21437/icslp.1998-243
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
Y. Ariki
中科院分区：
文献类型：
--
作者：
M. Nishida;Y. Ariki
在本文中，我们提出了一种方法来提取和验证单个说话人的话语使用子空间方法。该方法可以通过在当前语音段和紧接的前一语音段之间重复说话人验证来提取同一说话人的语音段。说话人模型在验证过程中自动训练，无需预先构建说话人模板。因此，这种说话人验证方法被应用于说话人索引。在这项研究中，播音员话语自动提取新闻语音数据，其中包括记者或采访者的话语。自动提取的是电视辩论节目中每个辩论者的话语。
In this paper, we propose a method to extract and verify individual speaker utterance using a subspace method. This method can extract speech section of the same speaker by repeating speaker verification between the present speech section and the immediately previous speech section. The speaker models are automatically trained in the verification process without constructing speaker templates in advance. As a result, this speaker verification method is applied to speaker indexing. In this study, announcer utterances are automatically extracted from news speech data which includes reporter or interviewer utterances. Also extracted automatically are the utterances of each participator in debate program broadcasted on TV.