The Potentials of Computer Analyzing the Acoustic Characteristics of a Human Speech under Spaceflight Conditions.

[1]  Li Liu,et al.  Wavelet packet analysis for speaker-independent emotion recognition , 2020, Neurocomputing.

[2]  Philipos C. Loizou,et al.  Reasons why Current Speech-Enhancement Algorithms do not Improve Speech Intelligibility and Suggested Solutions , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[3]  A. G. Vinokhodova,et al.  Experiments with Isolation: Past, Present, and Future , 2019, Human Physiology.

[4]  A. V. Vartanov.  Anthropomorphic method of emotion recognition in sounding speech , 2013 .

[5]  Yongming Huang,et al.  Novel Sub-band Spectral Centroid Weighted Wavelet Packet Features with Importance-Weighted Support Vector Machines for Robust Speech Emotion Recognition , 2017, Wireless Personal Communications.

[6]  R. Speyer,et al.  Effects of voice therapy: a systematic review. , 2008, Journal of voice : official journal of the Voice Foundation.

[7]  Gibak Kim,et al.  Gain-induced speech distortions and the absence of intelligibility benefit with existing noise-reduction algorithms. , 2011, The Journal of the Acoustical Society of America.

[8]  Soyeong Jeong,et al.  Development of Speech Emotion Recognition Algorithm using MFCC and Prosody , 2020, 2020 International Conference on Electronics, Information, and Communication (ICEIC).

[9]  Melina Rauch,et al.  De-individualized psychophysiological strain assessment during a flight simulation test—Validation of a space methodology , 2008 .

[10]  A. G. Vinokhodova,et al.  Experiments with Isolation: Past, Present, and Future , 2019, Human Physiology.

[11]  Acoustic correlates of individual features of functional and emotional states , 2011, Human Physiology.

[12]  Frolov Mv,et al.  Monitoring the functional state of human operators by the fundamental tone and spectrum of speech parameters , 2009 .

[13]  Hideki Kawahara,et al.  YIN, a fundamental frequency estimator for speech and music. , 2002, The Journal of the Acoustical Society of America.

[14]  Xueying Zhang,et al.  Nonlinear Dynamic Feature Extraction Based on Phase Space Reconstruction for the Classification of Speech and Emotion , 2020 .

[15]  M. S. Likitha,et al.  Speech based human emotion recognition using MFCC , 2017, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[16]  Björn Schuller,et al.  Spectral and Cepstral Audio Noise Reduction Techniques in Speech Emotion Recognition , 2016, ACM Multimedia.