| 韦向峰,袁毅,张全,池毓焕.富媒体环境下语音和文本内容的对齐研究[J].情报工程,2019,5(2):017-027 |
| 富媒体环境下语音和文本内容的对齐研究 |
| Research on the Alignment of Speech and Text Contents in Rich Media Environment |
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| DOI：10.3772/j.issn.2095-915X.2019.02.002 |
| 中文关键词: 富媒体；语音识别；锚点词；编辑距离；最长递增子序列 |
| 英文关键词: Rich media; speech recognition; anchor words; edit distance; maximum incremental subsequence |
| 基金项目:富媒体数字出版内容组织与知识服务重点实验室开放基金项目（ZD2018-07/03)：“ 面向语音与文本内容的富媒体关联研究与技术实现 ”。 |
| 作者 | 单位 | | 韦向峰 | 中国科学院声学研究所 | | 袁毅 | 中国科学院声学研究所 | | 张全 | 中国科学院声学研究所 | | 池毓焕 | 中国科学院声学研究所 |
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| 摘要点击次数: 1943 |
| 全文下载次数: 1555 |
| 中文摘要: |
| 语音媒体和文本媒体是富媒体中重要的两种媒体，本文试图解决富媒体内容关联中语音和文本的自动对应和关联问题。本文通过自动语音识别、语音纠错处理、文本相似度计算等技术和方法，把语音和文本的对齐问题转化为文本之间相似和对齐的问题，通过从语音到文本、从文本到语音两种应用场景，用实验证明了该方法的可行性和有效性。本文的语音文本对齐技术将是富媒体融合特别是语音媒体和文本媒体之间进行融合的重要支撑技术，同时也为文本媒体和语音媒体的进一步关联重组和应用提供坚实的技术基础。 |
| 英文摘要: |
| Speech medium and text medium are two important media in rich media environment. This paper tries to solve the problem of automatic correspondence and association between speech and text in rich media content association. This paper transforms the problem of alignment between speech and text into the problem of similarity and alignment between texts through automatic speech recognition, speech error correction and text similarity calculation. The feasibility and validity of this method are proved by experiments in two application scenarios, namely, from speech to text and from text to speech. The speech text alignment technology in this paper will be an important supporting technology for rich media integration, especially between speech media and text media. It will also provide a solid technical foundation for the further association, reorganization and ap-plication of text medium and speech medium. |
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