Automatic analysis of speech F0 contour for the characterization of mood changes in bipolar patients

Biomedical Signal Processing and Control

Volumn 17, Issue , 2015, Pages 29-37

  Guidi, A ^a   Vanello, N ^a   Bertschy, G ^b   Gentili, C ^a   Landini, L ^a   Scilingo, E P ^a  

^a UNIVERSITY OF PISA   (Italy)

^b UNIVERSITY HOSPITAL OF STRASBOURG   (France)

Author keywords

Bipolar disorders; Emotional speech; F0 contour analysis; Voiced unvoiced segmentation

Indexed keywords

SPEECH ANALYSIS;

AUTOMATIC ANALYSIS; AUTOMATIC METHOD; BIPOLAR DISORDER; EMOTIONAL SPEECH; F0 CONTOURS; FUNDAMENTAL FREQUENCIES; HEALTHY CONTROLS; PSYCHIATRIC PATIENTS;

SPEECH;

ADULT; ANGER; ARTICLE; ASSESSMENT OF HUMANS; AUTOANALYSIS; BIPOLAR DISORDER; BOREDOM; CLINICAL ARTICLE; CONTROLLED STUDY; DSM-IV-TR; F0 CONTOUR ANALYSIS; FEMALE; HAPPINESS; HUMAN; MALE; MENTAL PATIENT; MOOD CHANGE; PRIORITY JOURNAL; QUICK INVENTORY OF DEPRESSIVE SYMPTOMATOLOGY CLINICIAN RATING; SPEECH ANALYSIS; YOUNG MANIA RATING SCALE;

EID: 84923866680     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2014.10.011     Document Type: Article

References (40)

1. G. Valenza, C. Gentili, A. Lanata, and E.P. Scilingo Mood recognition in bipolar patients through the psyche platform: preliminary evaluations and perspectives Artif. Intell. Med. 57 1 2013 49 58
2. A. Greco, A. Lanata, G. Valenza, G. Rota, N. Vanello, and E. Scilingo On the deconvolution analysis of electrodermal activity in bipolar patients EMBS (EMBC), 2012 Annual International Conference of the IEEE IEEE 2012 6691 6694
3. G. Valenza, M. Nardelli, A. Lanata, C. Gentili, G. Bertschy, R. Paradiso, and E.P. Scilingo Wearable monitoring for mood recognition in bipolar disorder based on history-dependent long-term heart rate variability analysis IEEE J. Biomed. Health Inform. 18 5 2014 1625 1635
4. C. Sobin, and H.A. Sackeim Psychomotor symptoms of depression Am. J. Psychiatry 154 1 1997 4 17
5. Å. Nilsonne, J. Sundberg, S. Ternstrom, and A. Askenfelt Measuring the rate of change of voice fundamental frequency in fluent speech during mental depression J. Acoust. Soc. Am. 83 1988 716 728
6. M. Cannizzaro, B. Harel, N. Reilly, P. Chappell, and P.J. Snyder Voice acoustical measurement of the severity of major depression Brain Cogn. 56 1 2004 30 35
7. E. Moore, M.A. Clements, J.W. Peifer, and L. Weisser Critical analysis of the impact of glottal features in the classification of clinical depression in speech IEEE Trans. Biomed. Eng. 55 1 2008 96 107
8. L.S. Low, M.C. Maddage, M. Lech, L.B. Sheeber, and N.B. Allen Detection of clinical depression in adolescents' speech during family interactions IEEE Trans. Biomed. Eng. 58 3 2011 574 586
9. K.E.B. Ooi, M. Lech, and N.B. Allen Multichannel weighted speech classification system for prediction of major depression in adolescents IEEE Trans. Biomed. Eng. 60 2 2013 497 506
10. R. Horwitz, T.F. Quartieri, B.S. Helfer, B. Yu, J.R. Williamson, and J. Mundt On the relative importance vocal source, system, and prosody in human depression 2013 IEEE International Conference on Body Sensor Networks (BSN) 6-9 May 2013 1 6
11. S.G. Koolagudi, and K.S. Rao Emotion recognition from speech: a review Int. J. Speech Technol. 15 2 2012 99 117
12. M. El Ayadi, M.S. Kamel, and F. Karray Survey on speech emotion recognition: features, classification schemes, and databases Pattern Recogn. 44 3 2011 572 587
13. K.R. Scherer Vocal affect expression: a review and a model for future research Psychol. Bull. 99 2 1986 143
14. B. Schuller, A. Batliner, S. Steidl, and D. Seppi Recognising realistic emotions and affect in speech: state of the art and lessons learnt from the first challenge Speech Commun. 53 9 2011 1062 1087
15. T. Vogt, and E. André Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition IEEE International Conference on Multimedia and Expo (ICME 2005) 2005 474 477
16. M. Bulut, and S. Narayanan On the robustness of overall F0-only modifications to the perception of emotions in speech J. Acoust. Soc. Am. 123 2008 4547 4558
17. J.P. Arias, C. Busso, and N.B. Yoma Shape-based modeling of the fundamental frequency contour for emotion detection in speech Comput. Speech Lang. 28 2014 278 294
18. K. Rao, S. Koolagudi, and R. Vempada Emotion recognition from speech using global and local prosodic features Int. J. Speech Technol. 16 2 2013 143 160
19. T. Banziger, and K. Scherer The role of intonation in emotional expressions Speech Commun. 46 3 2005 252 267
20. H. Wang, A. Li, and Q. Fang F0 contour of prosodic word in happy speech of mandarin Active Computing and Intelligent Interaction 2005 Springer 433 440
21. M. Lin On production and perception of boundary tone in Chinese intonation International Symposium on Tonal Aspects of Languages: With Emphasis on Tone Languages 2004 125 130
22. P. Taylor Analysis and synthesis of intonation using the tilt model J. Acoust. Soc. Am. 107 2000 1697 1714
23. B. Atal, and L. Rabiner A pattern recognition approach to voiced-unvoiced-silence classification with applications to speech recognition IEEE Trans. Acoust. Speech 24 3 1976 201 212
24. N.H. de Jong, and T. Wempe Praat script to detect syllable nuclei and measure speech rate automatically Behav. Res. Methods 41 2 2009 385 390
25. A. Camacho, and J.G. Harris A sawtooth waveform inspired pitch estimator for speech and music J. Acoust. Soc. Am. 124 2008 1638 1652
26. N. Vanello, A. Guidi, C. Gentili, S. Werner, G. Bertschy, G. Valenza, A. Lanata, and E.P. Scilingo Speech analysis for mood state characterization in bipolar patients Conf. Proc. IEEE Eng. Med. Biol. Soc. 2012 2012 2104 2107
27. J. Kominek, and A. Black CMU ARCTIC Databases for Speech Synthesis. Technical Report CMU-LTI-03-177 2003 CMU Language Technologies Institute, Language Technologies Institute, CMU Pittsburgh PA
28. F. Burkhardt, A. Paeschke, M. Rolfes, W.F. Sendlmeier, and B. Weiss A database of German emotional speech Interspeech 2005 1517 1520
29. M.B. First, R.L. Spitzer, M. Gibbon, and J.B.W. Williams Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition (SCID-I/P) 2002 Biometrics Research, New York State Psychiatric Institute New York
30. A.J. Rush, M.H. Trivedi, H.M. Ibrahim, T.J. Carmody, B. Arnow, D.N. Klein, J.C. Markowitz, P.T. Ninan, S. Kornstein, R. Manber, M.E. Thase, J.H. Kocsis, and M.B. Keller The 16-item Quick Inventory of Depressive Symptomatology (QIDS) Clinician Rating (QIDS-C) and Self-Report (QIDS-SR): A psychometric evaluation in patients with chronic major depression Biol. Psychiatry 54 2003 573 583
31. R.C. Young, J.T. Biggs, V.E. Zeigler, and D.A. Meyer A rating scale for mania: reliability, validity and sensitivity Brit. J. Psychiatry 133 1978 429 435
32. H.A. Murray Uses of the thematic apperception test Am. J. Psychiatry 107 8 1951 577 581
33. K. Evanini, and C. Lai The importance of optimal parameter setting for pitch extraction J. Acoust. Soc. Am. 128 2010 2291-2291
34. N. Vanello, N. Martini, M. Milanesi, H. Keiser, M. Calisti, L. Bocchi, C. Manfredi, and L. Landini Evaluation of a pitch estimation algorithm for speech emotion recognition Proceedings of the 6th MAVEBA 2009 29 32
35. M. Pakosz Attitudinal judgments in intonation: some evidence for a theory J. Psycholinguist. Res. 12 3 1983 311 326
36. R. Banse, and K.R. Scherer Acoustic profiles in vocal emotion expression J. Pers. Soc. Psychol. 70 3 1996 614
37. M. Goudbeek, and K. Scherer Beyond arousal: valence and potency/control cues in the vocal expression of emotion J. Acoust. Soc. 128 3 2010 1322 1336
38. D. Erickson, K. Yoshida, C. Menezes, A. Fujino, T. Mochida, and Y. Shibuya Exploratory study of some acoustic and articulatory characteristics of sad speech Phonetica 63 1 2006 1 25
39. B. Schuller, and A. Batliner Computational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing, Taxonomies 2013 John Wiley & Sons 21 53
40. E. Gilboa-Schechtman, L. Galili, Y. Sahar, and O. Amir Being 'in' or 'out' of the game: subjective and acoustic reactions to exclusion and popularity in social anxiety Front. Hum. Neurosci. 8 2014 147