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Prosody conversion from neutral speech to emotional speech
Tao, JH; Kang, YG; Li, AJ
Source PublicationIEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2006-07-01
Volume14Issue:4Pages:1145-1154
SubtypeArticle
AbstractEmotion is an important element in expressive speech synthesis. Unlike traditional discrete emotion simulations, this 5 paper attempts to synthesize emotional speech by using "strong" "medium," and "weak" classifications. This paper tests different models, a linear modification model (LMM), a Gaussian mixture model (GMM), and a classification and regression tree (CART) model. The linear modification model makes direct modification of sentence F0 contours and syllabic durations from acoustic distributions of emotional speech, such as, F0 topline, F0 baseline, durations, and intensities. Further analysis shows that emotional speech is also related to stress and linguistic information. Unlike the linear modification method, the GMM and CART models try to map the subtle prosody distributions between neutral and emotional speech. While the GMM just uses the features, the CART model integrates linguistic features into the mapping. A pitch target model which is optimized to describe Mandarin F0 contours is also introduced. For all conversion methods, a deviation of perceived expressiveness (DPE) measure is created to evaluate the expressiveness of the output speech., The results show that the LMM gives the worst results among the three methods. The GMM method is more suitable for a small training set, while the CART method gives the better emotional speech output if trained With a large context-balanced corpus. The methods discussed in this paper indicate ways to generate emotional speech in speech synthesis. The objective and subjective evaluation processes are also analyzed. These results support the use of a neutral semantic content text in databases for emotional speech synthesis.
KeywordEmotional Speech Prosody Analysis Speech Synthesis
WOS HeadingsScience & Technology ; Technology
WOS KeywordVOICE CONVERSION
Indexed BySCI
Language英语
WOS Research AreaAcoustics ; Engineering
WOS SubjectAcoustics ; Engineering, Electrical & Electronic
WOS IDWOS:000238709200007
Citation statistics
Cited Times:95[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9283
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Chinese Acad Social Sci, Inst Linguist, Beijing 100732, Peoples R China
Recommended Citation
GB/T 7714
Tao, JH,Kang, YG,Li, AJ. Prosody conversion from neutral speech to emotional speech[J]. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2006,14(4):1145-1154.
APA Tao, JH,Kang, YG,&Li, AJ.(2006).Prosody conversion from neutral speech to emotional speech.IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,14(4),1145-1154.
MLA Tao, JH,et al."Prosody conversion from neutral speech to emotional speech".IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 14.4(2006):1145-1154.
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