Hi, KIA! Classifying Emotional States from Wake-up Words Using Machine Learning
![]() |
Kim, Taesu
(KAIST 산업디자인학과)
Kim, Yeongwoo (KAIST 산업디자인학과) Kim, Keunhyeong (KAIST 문화과학기술대학원) Kim, Chul Min (KAIST 원자력및양자공학과) Jun, Hyung Seok (현대자동차 기아디자인센터 기아내장디자인실) Suk, Hyeon-Jeong (KAIST 산업디자인학과) |
1 | Jones, C. M., & Jonsson, I. M. (2007). Performance analysis of acoustic emotion recognition for in-car conversational interfaces. In International Conference on Universal Access in Human-Computer Interaction (pp. 411-420). Berlin, Heidelberg, DOI: 10.1007/978-3-540-73281-5_44 DOI |
2 | Wiegand, G., Mai, C., Hollander, K., & Hussmann, H. (2019). InCarAR: A Design Space Towards 3D Augmented Reality Applications in Vehicles. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Utrecht, Netherlands (pp. 1-13), DOI: 10.1145/3342197.3344539 DOI |
3 | Kim, Y., Kim, T., Kim, G., Jeon, H., & Suk. H. J. (2020). Hi Kia~, hi... kia..., HI KIA!! Proceeding of Fall Conference of Korean Society for Emotion and Sensibility (pp. 21-22), Daejeon. |
4 | Nass, C., Jonsson, I. M., Harris, H., Reaves, B., Endo, J., Brave, S., & Takayama, L. (2005). Improving automotive safety by pairing driver emotion and car voice emotion. In Proceedings of CHI '05 Extended Abstracts on Human Factors in Computing Systems 2-7 (pp. 1973-1976), Portland, Oregon, USA. DOI: 10.1145/1056808.1057070 DOI |
5 | Ogilvy, J. (2011). Facing the Fold: Essays on Scenario Planning (pp. 11-29). Devon: Triarchy Press. |
6 | Jang, K., & Kim, T. (2005). The pragmatic elements concerned with the sounds of utterance. Korean Semantics, 18, 175-196. |
7 | Jones, C. M., & Jonsson, I. M. (2005). Automatic recognition of affective cues in the speech of car drivers to allow appropriate responses. In Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future (pp. 1-10), Narrabundah, Australia, Nov. 2005. DOI: 10.5555/1108368.1108397 DOI |
8 | Nordstrom, H., & Laukka, P. (2019). The time course of emotion recognition in speech and music. The Journal of the Acoustical Society of America, 145(5), 3058-3074. DOI: 10.1121/1.5108601 DOI |
9 | Alcamo, J. (2008). Chapter six the SAS approach: combining qualitative and quantitative knowledge in environmental scenarios. Developments in integrated environmental assessment, 2, 123-150. DOI: /10.1016/S1574-101X(08)00406-7 DOI |
10 | Davitz, J. R. (1964). The communication of emotional meaning. Oxford, England: McGraw Hill. |
11 | Swain, M., Routray, A., & Kabisatpathy, P. (2018). Databases, features and classifiers for speech emotion recognition: a review. International Journal of Speech Technology, 21(1), 93-120. DOI: 10.1007/s10772-018-9491-z DOI |
12 | Russell, J. A. (1980). A circumplex model of affect. Journal of personality and social psychology, 39(6), 1161-1178. DOI: 10.1037/h0077714 DOI |
13 | Voicebot. ai. (2020). In-car voice assistant consumer adoption report. Retrieved from https://voicebot.ai/wp-content/uploads/2020/02/in_car_voice_assistant_consumer_adoption_report_2020_voicebot.pdf |
14 | Kepuska, V. Z., & Klein, T. B. (2009). A novel wakeup-word speech recognition system, wake-up-word recognition task, technology and evaluation. Nonlinear Analysis: Theory, Methods & Applications, 71(12), e2772-e2789. DOI: 10.1016/j.na.2009.06.089 DOI |
15 | Park. J., Park, J., & Sohn, J. (2013). Acoustic parameters for induced emotion categorizing and dimensional approach. Science of Emotion and Sensibility, 16(1), 117-124. |
16 | Schuller, B., Lang, M., & Rigoll, G. (2006). Recognition of spontaneous emotions by speech within automotive environment. Proceedings of German Annual Conference of Acoustics, Braunschweig, Germany, Mar, 2006. |
![]() |