本文選題：情感語音數(shù)據庫 + 維度情感描述��； 參考：《太原理工大學學報》2017年03期

【摘要】：情感語音數(shù)據庫是情感語音識別研究的基礎,建立包含認知心理因素在內的維度情感語音數(shù)據庫對提高識別率、改善人機交互能力具有重要意義。筆者首先對前期建立的摘引型TYUT2.0數(shù)據庫進行語音聽辨篩選,根據認同率閾值進行數(shù)據庫優(yōu)化,得到的情感語音數(shù)據庫包含四種情感的語句237句,其中"悲傷"62句,"憤怒"58句,"高興"57句,"驚奇"60句。然后利用PAD三維情感模型對該數(shù)據庫語音進行標注,得到維度情感語音數(shù)據庫。該數(shù)據庫中的每句語音都有對應的聽辨認同率以及PAD值。對每句語音的PAD值進行統(tǒng)計分析,證明了該維度情感語音數(shù)據庫的有效性,為今后研究維度情感識別奠定了基礎。
[Abstract]:Emotional speech database is the basis of emotional speech recognition. It is of great significance to establish a dimension emotional speech database including cognitive psychological factors to improve the recognition rate and the human-computer interaction ability. In this paper, the author first selects and optimizes the TYUT2.0 database based on the recognition rate threshold. The emotional speech database consists of four kinds of emotional sentences. Of them, 62 are sad, 58 are angry, 57 are happy, 60 are surprise. Then the 3D emotion model of PAD is used to label the voice of the database, and the dimension emotional voice database is obtained. Each sentence in the database has a corresponding audiological identification rate and PAD value. The PAD value of each sentence is statistically analyzed, which proves the validity of the emotional speech database of this dimension, and lays a foundation for the study of dimension emotion recognition in the future.
【作者單位】： 太原理工大學信息工程學院;
【基金】：國家自然科學基金資助項目(61376693)
【分類號】：TN912.3;TP311.13

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