广播汉语语音情感数据库的建立

Zhongwen Tu, Bin Liu, Wei Zhao, Baoyu Cao
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引用次数: 1

摘要

为了给广播语音的语音情感识别和研究提供一个有效、可用的数据库,建立了一个基于广播发声法的语音情感数据库,该数据库包含快乐、非常快乐、悲伤、非常悲伤、愤怒、非常愤怒和中性七种离散情绪。该数据库由中国传媒大学广播与主播专业的4名研究生(2男2女)在专业录音室以表演的方式录制。为了证明数据库的有效性,我们组织了一个由10名专业人士和非专业人士组成的评估组,对数据库中随机抽取的样本进行了主观评价实验。实验结果表明,该数据库是一个有效、可靠的广播汉语语音情感数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment of Chinese Speech Emotion Database of Broadcasting
In order to provide an effective and available database for speech emotion recognition and research on broadcast speech, an speech emotion database based on broadcast vocalization method is established, which contains seven discrete emotions, namely, happy, very happy, sad, very sad, angry, very angry and neutral. The database is recorded by four graduate students (two male and two female) from Communication University of China, who majoring in broadcasting and anchoring, at the professional recording room in a performance way. To prove the effectiveness of the database, an evaluation group of 10 people, both professional and nonprofessional, was organized to conduct a subjective evaluation experiment on the randomly selected samples from the database. The experiment results show that this database is an effective and reliable Chinese speech emotion database of broadcasting.
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