Comparison of Emotion Perception among Different Cultures (2009)
Dang, Jianwu, Li, Aijun, Erickson, Donna, Suemitsu, Atsuo, Akagi, Masato, Sakuraba, Kyoko, ...
APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Synthesis of Various Affective Speech...
A study of anticipatory coarticulation for French speakers and for Mandarin Chinese speakers. (2009)
Ma, Liang, Perrier, Pascal, Dang, Jianwu
Anticipatory coarticulation is studied for two languages, French and Mandarin Chinese, within Vowel1 -Consonant -Vowel2 sequences (V1CV2 henceforth). EMMA data and acoustic signals were collected....
A study of anticipatory coarticulation for French speakers and for Mandarin Chinese speakers. (2009)
Ma, Liang, Perrier, Pascal, Dang, Jianwu
Anticipatory coarticulation is studied for two languages, French and Mandarin Chinese, within Vowel1 -Consonant -Vowel2 sequences (V1CV2 henceforth). EMMA data and acoustic signals were collected....
A Robust Voice Activity Detection based on Noise Eigenspace Projection (2008)
Dongwen Ying, Yu Shi, Frank Soong, Jianwu Dang, Xugang Lu
Abstract A robust voice activity detector (VAD) is expected to increase the accuracy of ASR in noisy environments. This study focuses on how to extract robust information for designing a robust VAD....
A Linear Resection-Intersection Bundle Adjustment Method (2008)
Shigang Liu, Jiancheng Sun, Jianwu Dang
Bundle adjustment is one of the main tools used for multiple view reconstruction. It seeks to refine the estimation of the 3D scene and the visual parameters. The main drawback of this technique, due...
This paper proposes an improved vocal tract model of vowel production, which incorporates acoustic e�ects of the piriform fossa and transvelar nasal coupling. In this study, the vocal tract model...
A Model-Based Learning Process for Modeling Coarticulation of Human Speech (2007)
WEI, Jianguo, LU, Xugang, DANG, Jianwu
Machine learning techniques have long been applied in many fields and have gained a lot of success. The purpose of learning processes is generally to obtain a set of parameters based on a given data...