Papers

A Deep Learning-based Stress Detection Algorithm with Speech Signal

International Conference
2016~2020
작성자
한혜원
작성일
2018-10-01 16:38
조회
229
Authors : Hyewon Han, Kyungguen Byun, Hong-Goo Kang

Year : 2018

Publisher / Conference : Workshop on Audio-Visual Scene Understanding for Immersive Multimedia (AVSU’18)

In this paper, we propose a deep learning-based psychological stress detection algorithm using speech signals. With increasing demands for communication between human and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human-machine interactions. The proposed algorithm first extracts mel-filterbank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using long short-term memory (LSTM) and feed-forward networks. To evaluate the performance of the proposed algorithm, speech, video, and bio-signal data were collected in a well-controlled environment. We utilized only speech signals in the decision process from subjects whose salivary cortisol level varies over 10%. Using the proposed algorithm, we achieved 66.4% accuracy in detecting the stress state from 25 subjects, thereby demonstrating the possibility of utilizing speech signals for automatic stress detection.
전체 322
282 International Conference Yang Yuan, Soo-Whan Chung, Hong-Goo Kang "Gradient-based active learning query strategy for end-to-end speech recognition" in ICASSP, 2019
281 International Conference Soo-Whan Chung, Joon Son Chung, Hong-Goo Kang "Perfect match: Improved cross-modal embeddings for audio-visual synchronisation" in ICASSP, 2019
280 International Conference Hyewon Han, Kyungguen Byun, Hong-Goo Kang "A Deep Learning-based Stress Detection Algorithm with Speech Signal" in Workshop on Audio-Visual Scene Understanding for Immersive Multimedia (AVSU’18), 2018
279 International Conference Min-Jae Hwang, Eunwoo Song, Jin-Seob Kim, Hong-Goo Kang "A Unified Framework for the Generation of Glottal Signals in Deep Learning-based Parametric Speech Synthesis Systems" in INTERSPEECH, 2018
278 Domestic Conference 양원, 정수환, 강홍구 "비학습 데이터 적응화 기법을 이용한 딥러닝 기반 한국어 음성 인식 기술" in 한국음향학회 추계발표대회, 2018
277 Domestic Conference 최소연, 정수환, 강홍구 "임베딩 매트릭스를 기반으로 한 비정상적 잡음 제거 알고리즘의 분석과 딥러닝 음질개선 방법들과의 성능비교" in 한국음향학회 추계발표대회, 2018
276 International Journal Jinkyu Lee, Jan Skoglund, Turaj Shabestary, Hong-Goo Kang "Phase-Sensitive Joint Learning Algorithms for Deep Learning-Based Speech Enhancement" in IEEE Signal Processing Letters, vol.25, issue 8, pp.1276-1280, 2018
275 International Conference Haemin Yang, Soyeon Choe, Keulbit Kim, Hong-Goo Kang "Deep learning-based speech presence probability estimation for noise PSD estimation in single-channel speech enhancement" in ICSigSys, 2018
274 International Conference Min-Jae Hwang, Eunwoo Song, Kyungguen Byun, Hong-Goo Kang "Modeling-by-Generation-Structured Noise Compensation Algorithm for Glottal Vocoding Speech Synthesis System" in ICASSP, 2018
273 International Conference Jinyoung Lee, Chahyeon Eom, Youngsu Kwak, Hong-Goo Kang, Chungyoung Lee "DNN-based Wireless Positioning in An Outdoor Environment" in ICASSP, 2018