本文選題：情感語音數(shù)據(jù)庫 + 維度情感描述　； 參考：《太原理工大學(xué)學(xué)報(bào)》2017年03期

【摘要】：情感語音數(shù)據(jù)庫是情感語音識別研究的基礎(chǔ),建立包含認(rèn)知心理因素在內(nèi)的維度情感語音數(shù)據(jù)庫對提高識別率、改善人機(jī)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(jù)庫進(jìn)行語音聽辨篩選,根據(jù)認(rèn)同率閾值進(jìn)行數(shù)據(jù)庫優(yōu)化,得到的情感語音數(shù)據(jù)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(jù)庫語音進(jìn)行標(biāo)注,得到維度情感語音數(shù)據(jù)庫。該數(shù)據(jù)庫中的每句語音都有對應(yīng)的聽辨認(rèn)同率以及PAD值。對每句語音的PAD值進(jìn)行統(tǒng)計(jì)分析,證明了該維度情感語音數(shù)據(jù)庫的有效性,為今后研究維度情感識別奠定了基礎(chǔ)。
[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(xué)信息工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61376693)
【分類號】：TN912.3;TP311.13

【相似文獻(xiàn)】

相關(guān)會議論文 前1條

1 劉怡;高s，

本文編號：1787166