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语音情感识别专利分析
引用本文:韩黎敏,席 萍.语音情感识别专利分析[J].河北工业科技,2020,37(5):326-334.
作者姓名:韩黎敏  席 萍
作者单位:国家知识产权局专利局光电技术发明审查部,北京 100088,国家知识产权局专利局光电技术发明审查部,北京 100088
摘    要:为了深入了解语音情感识别领域的技术发展状况,采取定量与定性交叉融合的分析方式,对当今语音情感识别领域相关专利的申请态势、技术发展脉络、申请国别、主要申请人等进行了多角度的分析和探讨。结果表明,在语音情感识别技术的发展进程中,中国虽然起步较晚,但发展速度很快,已逐渐赶超美、日、韩等发达国家;中国大部分专利还处于科研阶段,距大规模商业化尚有一定距离。另外,中国语音情感识别领域还有很多技术空白点,亟待专利布局,因此,中国的科研院校与企业应积极合作,发挥各自优势,以市场为导向,提高语音情感识别技术的市场竞争力。同时,要进一步加大对语音情感识别技术基础要件的科研力度,并勇于探索更尖端的技术领域。研究结果不仅可作为语音情感识别领域科研人员确定研究方向的依据,还可为政府和企业的规划决策提供参考。

关 键 词:语音处理  语音情感识别  专利检索  专利分析  专利申请态势
收稿时间:2020/7/31 0:00:00
修稿时间:2020/9/10 0:00:00

Analysis on patents of speech emotion recognition
HAN Limin,XI Ping.Analysis on patents of speech emotion recognition[J].Hebei Journal of Industrial Science & Technology,2020,37(5):326-334.
Authors:HAN Limin  XI Ping
Abstract:In order to understand the development of technology in the field of speech emotion recognition deeply, a method integrated with quantitative and qualitative modes was adopted to analyze and discuss the relevant patents in the field of current speech emotion recognition from multiple perspectives, such as the application trend, development thread of technology,country of application and main applicants. The results show that although the development process of speech emotion recognition technology in China started relatively late, it has developed dramatically, and has gradually surpassed the developed countries such as the United States, Japan, and South Korea. However, most Chinese patents are still in the scientific research stage, which is still a long way from the large-scale commercialization. In addition, there are still many technical gaps in the field of speech emotion recognition in China, and the patent layout is urgently needed. Therefore, the scientific research institutions and enterprises in China should actively cooperate, give full play to their respective advantages, and be market-oriented to improve the market competitiveness of speech emotion recognition technology. At the same time, it is necessary to strengthen the scientific research on the basic elements of speech emotion recognition technology, and dare to explore more advanced fields. The research results can not only be used as reference for researchers to determine the research direction in the field of speech emotion recognition, but also provide a reference for the government and enterprises to make planning and decisions.
Keywords:speech processing  speech emotion recognition  patent retrieval  patent analysis  patent application trend
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