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国家自然科学基金(61231002)

作品数:16 被引量:95H指数:4
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发文基金:国家自然科学基金国家教育部博士点基金教育部人文社会科学研究基金更多>>
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16 条 记 录,以下是 1-10
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Emotion recognition of Uyghur speech using uncertain linear discriminant analysis
2017年
To achieve efficient a d compact low-dimensional features for speech emotion recognition,a novel featurereduction method using uncertain linear discriminant analysis is proposed.Using the same principles as for conventional linear discriminant analysis(LDA),uncertainties of the noisy or distorted input data ae employed in order to estimate maximaiy discriminant directions.The effectiveness of the proposed uncertain LDA(ULDA)is demonstrated in the Uyghur speech emotion recognition task.The emotional features of Uyghur speech,especially,the fundamental fequency and formant,a e analyzed in the collected emotional data.Then,ULDA is employed in dimensionality reduction of emotional features and better performance is achieved compared with other dimensionality reduction techniques.The speech emotion recognition of Uyghur is implemented by feeding the low-dimensional data to support vector machine(SVM)based on the proposed ULDA.The experimental results show that when employing a appropriate uncertainty estimation algorithm,uncertain LDA outperforms the conveetional LDA counterpart on Uyghur speech emotion recognition.
Tashpolat NizamidinZhao LiZhang MingyangXu XinzhouAskar Hamdulla
关键词:PITCHFORMANT
Improved design of reconfigurable frequency response masking filters based on second-order cone programming
2014年
In order to improve the design results for the reconfigurable frequency response masking FRM filters an improved design method based on second-order cone programming SOCP is proposed.Unlike traditional methods that separately design the proposed method takes all the desired designing modes into consideration when designing all the subfilters. First an initial solution is obtained by separately designing the subfilters and then the initial solution is updated by iteratively solving a SOCP problem. The proposed method is evaluated on a design example and simulation results demonstrate that jointly designing all the subfilters can obtain significantly lower minimax approximation errors compared to the conventional design method.
吴尘徐新洲黄程韦赵力
Intelligibility enhancement for noisy whispered speech using asymmetric cost function被引量:2
2014年
We proposed two whispered speech enhancement methods based on asymmetric cost functions in this paper to deal with the amplification and attenuation distortions of whispered speech distinctively.The modified Itakura-Saito(MIS)distance function provides more penalties to speech amplification distortion,whereas the Kullback-Leibler(KL)divergence function gives more penalties to speech attenuation distortion.The experimental results show that the MIS function based method achieves significant improvement of intelligibility in contrast to the conventional speech enhancement algorithms when the signal-to-noise ratio(SNR)falls below-6 dB,whereas the KL function based one achieves the similar result as the minimum mean square error(MMSE)speech enhancement method.The results show that the effects of the amplification and attenuation distortions on the intelligibility of the enhanced whisper are different,where larger attenuation distortion may result in better intelligibility of speech with low SNR.However,the attenuation distortion has small effects on intelligibility of speech with high SNR.
ZHOU JianZHENG WenmingWANG QingyunZHAO Li
关键词:SNRMISMMSE
Auditory attention model based on Chirplet for cross-corpus speech emotion recognition
2016年
To solve the problem of mismatching features in an experimental database, which is a key technique in the field of cross-corpus speech emotion recognition, an auditory attention model based on Chirplet is proposed for feature extraction.First, in order to extract the spectra features, the auditory attention model is employed for variational emotion features detection. Then, the selective attention mechanism model is proposed to extract the salient gist features which showtheir relation to the expected performance in cross-corpus testing.Furthermore, the Chirplet time-frequency atoms are introduced to the model. By forming a complete atom database, the Chirplet can improve the spectrum feature extraction including the amount of information. Samples from multiple databases have the characteristics of multiple components. Hereby, the Chirplet expands the scale of the feature vector in the timefrequency domain. Experimental results show that, compared to the traditional feature model, the proposed feature extraction approach with the prototypical classifier has significant improvement in cross-corpus speech recognition. In addition, the proposed method has better robustness to the inconsistent sources of the training set and the testing set.
张昕然宋鹏查诚陶华伟赵力
从婚姻关系到亲子关系:父母情绪表达的中介作用被引量:47
2013年
通过追踪研究,采用问卷法考察了454名学前儿童的父母婚姻关系质量、父母情绪表达与亲子关系的作用机制。路径分析的结果表明:(1)在控制了第一年父子亲密性后,第一年的夫妻婚姻关系质量不能直接预测第三年父子亲密性,而是完全通过第二年父亲的情绪表达作用于第三年父子亲密性,第二年母亲情绪表达在第一年夫妻婚姻关系质量与第三年父子亲密性之间的中介作用不显著。(2)在控制了第一年母子亲密性后,第二年母亲的积极情绪表达在第一年的夫妻婚姻关系质量与第三年的母子亲密性之间起着完全中介作用,而第二年母亲消极情绪表达的中介作用不显著,第二年父亲情绪表达在第一年夫妻婚姻关系质量与第三年母子亲密性之间的中介作用不显著。
梁宗保张光珍邓慧华宋媛郑文明孙铃
关键词:婚姻质量亲子关系家庭系统中介作用
学前儿童努力控制的发展轨迹与父母养育的关系:一项多水平分析被引量:12
2013年
通过3年追踪研究,采用问卷法考察了474名学前儿童努力控制发展变化的轨迹,以及初始父母养育方式对其发展水平和发展速率的影响。多水平分析的结果表明:(1)学前儿童的努力控制呈线性增长,其发展水平和增长速度均存在明显的个体差异,努力控制初始水平较高的儿童,其增长速度也较快。(2)初始的父母鼓励与接纳对儿童努力控制的最后发展水平有促进作用,而父母的拒绝与惩罚则起反作用。(3)父亲鼓励与接纳能加速儿童努力控制的平均增长速率,而母亲鼓励与接纳则会延缓其平均增长速率。(4)初始的父亲养育方式可分别解释儿童努力控制发展水平和发展速率10%和2%的变异,初始的母亲养育方式可分别解释其14%和3%的变异,父母养育方式累计可分别解释其19%和10%的变异。
梁宗保张光珍邓慧华宋媛郑文明
关键词:学前儿童父母养育
Whisper intelligibility enhancement based on noise robust feature and SVM被引量:2
2012年
A machine learning based speech enhancement method is proposed to improve the intelligibility of whispered speech. A binary mask estimated by a two-class support vector machine (SVM) classifier is used to synthesize the enhanced whisper. A novel noise robust feature called Gammatone feature cosine coefficients (GFCCs) extracted by an auditory periphery model is derived and used for the binary mask estimation. The intelligibility performance of the proposed method is evaluated and compared with the traditional speech enhancement methods. Objective and subjective evaluation results indicate that the proposed method can effectively improve the intelligibility of whispered speech which is contaminated by noise. Compared with the power subtract algorithm and the log-MMSE algorithm, both of which do not improve the intelligibility in lower signal-to-noise ratio (SNR) environments, the proposed method has good performance in improving the intelligibility of noisy whisper. Additionally, the intelligibility of the enhanced whispered speech using the proposed method also outperforms that of the corresponding unprocessed noisy whispered speech.
周健赵力梁瑞宇方贤勇
基于几何结构的自适应空域错误隐藏算法被引量:1
2014年
针对视频传输时容易发生损坏或丢失数据的问题,提出一种基于几何结构的自适应空域错误隐藏算法,以提高恢复图像质量。利用受损宏块的相邻2层像素提取几何结构,依据受损块相邻像素区分平滑块和边缘块。对平滑块采用双线插值,对边缘块根据内外两层的转折点寻找边缘方向,从而划分区域插值运算。实验结果表明,对于不同宏块丢失率和不同的视频序列,该算法所恢复的视频序列的峰值信噪比比双线插值、方向插值算法提高了0.5 dB^3 dB,不仅避免了虚假边缘,而且也提高了方向插值的准确性,改善了恢复图像的主观效果。
杨丹卢桂馥周鸣争
关键词:空域
Speech emotion recognition via discriminant-cascading dimensionality reduction被引量:1
2016年
In order to accurately identify speech emotion information, the discriminant-cascading effect in dimensionality reduction of speech emotion recognition is investigated. Based on the existing locality preserving projections and graph embedding framework, a novel discriminant-cascading dimensionality reduction method is proposed, which is named discriminant-cascading locality preserving projections (DCLPP). The proposed method specifically utilizes supervised embedding graphs and it keeps the original space for the inner products of samples to maintain enough information for speech emotion recognition. Then, the kernel DCLPP (KDCLPP) is also proposed to extend the mapping form. Validated by the experiments on the corpus of EMO-DB and eNTERFACE'05, the proposed method can clearly outperform the existing common dimensionality reduction methods, such as principal component analysis (PCA), linear discriminant analysis (LDA), locality preserving projections (LPP), local discriminant embedding (LDE), graph-based Fisher analysis (GbFA) and so on, with different categories of classifiers.
王如刚徐新洲黄程韦吴尘张昕然赵力
关键词:DISCRIMINANTANALYSIS
A novel speech emotion recognition algorithm based on combination of emotion data field and ant colony search strategy被引量:3
2016年
In order to effectively conduct emotion recognition from spontaneous, non-prototypical and unsegmented speech so as to create a more natural human-machine interaction; a novel speech emotion recognition algorithm based on the combination of the emotional data field (EDF) and the ant colony search (ACS) strategy, called the EDF-ACS algorithm, is proposed. More specifically, the inter- relationship among the turn-based acoustic feature vectors of different labels are established by using the potential function in the EDF. To perform the spontaneous speech emotion recognition, the artificial colony is used to mimic the turn- based acoustic feature vectors. Then, the canonical ACS strategy is used to investigate the movement direction of each artificial ant in the EDF, which is regarded as the emotional label of the corresponding turn-based acoustic feature vector. The proposed EDF-ACS algorithm is evaluated on the continueous audio)'visual emotion challenge (AVEC) 2012 dataset, which contains the spontaneous, non-prototypical and unsegmented speech emotion data. The experimental results show that the proposed EDF-ACS algorithm outperforms the existing state-of-the-art algorithm in turn-based speech emotion recognition.
查诚陶华伟张昕然周琳赵力杨平
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