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首页> 外文会议>Entertainment computing - ICEC 2009 >MusicCommentator: Generating Comments Synchronized with Musical Audio Signals by a Joint Probabilistic Model of Acoustic and Textual Features
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MusicCommentator: Generating Comments Synchronized with Musical Audio Signals by a Joint Probabilistic Model of Acoustic and Textual Features

机译：MusicCommentator：通过声音和文本特征的联合概率模型生成与音乐音频信号同步的评论

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摘要

This paper presents a system called MusicCommentator that suggests possible comments on appropriate temporal positions in a musical audio clip. In an online video sharing service, many users can provide free-form text comments for temporal events occurring in clips not for entire clips. To emulate the commenting behavior of users, we propose a joint probabilistic model of audio signals and comments. The system trains the model by using existing clips and users' comments given to those clips. Given a new clip and some of its comments, the model is used to estimate what temporal positions could be commented on and what comments could be added to those positions. It then concatenates possible words by taking language constraints into account. Our experimental results showed that using existing comments in a new clip resulted in improved accuracy for generating suitable comments to it.
机译：本文介绍了一个名为MusicCommentator的系统，该系统可对音乐音频剪辑中适当的时间位置提出可能的建议。在在线视频共享服务中，许多用户可以为剪辑中发生的时间事件（而不是整个剪辑）提供自由格式的文本注释。为了模拟用户的评论行为，我们提出了音频信号和评论的联合概率模型。系统通过使用现有剪辑和用户对这些剪辑的评论来训练模型。给定一个新剪辑及其一些评论，该模型用于估计可以评论哪些时间位置以及可以向这些位置添加哪些评论。然后，它通过考虑语言限制来连接可能的单词。我们的实验结果表明，在新剪辑中使用现有注释会提高为它生成适当注释的准确性。

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