By Aijun Li
ISBN-10: 3662476908
ISBN-13: 9783662476901
ISBN-10: 3662476916
ISBN-13: 9783662476918
This e-book addresses the topic of emotional speech, particularly its encoding and deciphering approach in the course of interactive conversation, in accordance with a stronger model of Brunswik’s Lens version. the method is proven to be motivated by way of the speaker’s and the listener’s linguistic and cultural backgrounds, in addition to via the transmission channels used. via either psycholinguistic and phonetic research of emotional multimodality facts for 2 typologically assorted languages, i.e., chinese language and eastern, the ebook demonstrates and elucidates the mutual and differing interpreting and encoding schemes of emotional speech in chinese language and Japanese.
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Additional resources for Encoding and Decoding of Emotional Speech: A Cross-Cultural and Multimodal Study between Chinese and Japanese
Example text
As we know, cultures differ in their definitions of novelty, hazard, opportunity, attack, gratification, and loss, as well as in their definitions of appropriate responses and beliefs. Therefore, the cultural differences may trigger effect in emotional response and emotional experience. In other words, the decoding process will be definitely affected by the culture norms or differences. Cross-cultural investigation of emotion is a hot topic in recent years. Scherer (2000) conducted further research through the employment of encoders and decoders from different languages and cultures, so as to examine which language or specific expression rule speech technology needs to incorporate into the development of products marketed on a global scale.
Cornelius. 2003. Describing the emotional states that are expressed in speech. Speech Communication 40: 5–32. , E. Douglas-Cowie, S. Savvidou, E. McMahon, M. Sawey, and M. Schröder. 2000. ‘FEELTRACE’: An instrument for recording perceived emotion in real time. Proceedings of ISCA workshop on speech and emotion: A conceptual framework for research, 19–24. Belfast: Textflow. , E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, et al. 2001. Emotion recognition in human–computer interaction.
The level, range, shape, and timing of the pitch contour) is the most important parameter in differentiating the basic emotions. Further, the voice quality is important in distinguishing the secondary emotions. Banse and Scherer (1996) examined the acoustic profiles or vocal cues for emotion expression through actors’ voices for 14 emotion categories. The acoustic parameters they used were related to fundamental frequency/pitch (F0), energy, speech rate, and spectral information in voiced and unvoiced portions.
Encoding and Decoding of Emotional Speech: A Cross-Cultural and Multimodal Study between Chinese and Japanese by Aijun Li
by Richard
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