Computer aided music therapy evaluation: Testing the Music Therapy Logbook prototype 1 system

Arts in Psychotherapy

Volumn 39, Issue 1, 2012, Pages 1-10

  Streeter, Elaine ^a   Davies, Matthew E P ^b,e   Reiss, Joshua D ^b   Hunt, Andy ^a   Caley, Richard ^c   Roberts, Cath ^d,f  

^a UNIVERSITY OF YORK   (United Kingdom)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^c MID YORKSHIRE HOSPITALS NHS TRUST   (United Kingdom)

^d SHEFFIELD TEACHING HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^e UNIVERSITY OF PORTO   (Portugal)

^f SHEFFIELD HEALTH AND SOCIAL CARE NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Computer; Evaluation; Evidence based practice; Music analysis; Music information retrieval; Music therapy

Indexed keywords

ALGORITHM; ARTICLE; AUDIO RECORDING; BRAIN INJURY; COMPUTER ANALYSIS; COMPUTER ASSISTED THERAPY; HUMAN; MUSIC THERAPY; PRIORITY JOURNAL; SOUND INTENSITY;

EID: 82355164578     PISSN: 01974556     EISSN: 18735878     Source Type: Journal    
DOI: 10.1016/j.aip.2011.11.004     Document Type: Article

References (21)

1. Bello J.P., Duxbury C., Davies M.E., Sandler M.B. On the use of phase and energy for musical onset detection in the complex domain. IEEE Signal Processing Letters 2004, 11(6):553-556.
2. Benveniste S., Jouvelot P., Lecourt E., Michel R. Designing wiimprovisation for mediation in group music therapy with children suffering from behavioral disorders. Proceedings of the 8th international conference on interaction design and children; design for health ACM SIGCHI, IDC'09 2009, 18-26.
3. Daveson B.A., Magee W.L., Crewe L., Beaumont G., Kenealy P. Music therapy assessment tool for low awareness states. International Journal of Therapy and Rehabilitation 2007, 14(12):545-549.
4. Davies, M. E. P. (2007). Towards automatic rhythmic accompaniment. PhD Thesis, Department of Electronic Engineering, Queen Mary, University of London.
5. Davies M., Plumbley M. Context-dependent beat tracking of musical audio. IEEE Trans. Aud/Speech/Lang Proc., Vol. 15 2007, 1009-1020.
6. Ellis D.P.W. Beat tracking by dynamic programming. Journal of New Music Research 2007, 36(1):51-60.
7. Erkkilä J. Music Therapy Toolbox (MTTB) an improvisation analysis tool for clinicians and researchers. Microanalysis in music therapy: Methods, techniques and applications for clinicians, researchers, educators and students 2007, 134-148. Jessica Kingsley Publishers, London and Philadelphia. T. Wosch, T. Wigram (Eds.).
8. Hunt A., Kirk R., Abbotson M., Abbotson R. Music therapy and electronic technology. Proceedings from EuroMicro conference 2000, 2:362-367.
9. Lifecomm Medical Emergency Device. Retrieved from http://www.lifecomm.com/devices.html.
10. Nesbit, A. L. (2007). Audio source separation by time-frequency masking. PhD Thesis, Department of Electronic Engineering, Queen Mary, University of London.
11. Ockenden A. Music for children and young people with complex needs Oxford 2008, p. 108.
12. Perez Gonzalez E., Reiss J.D. Automatic mixing. DAFX: Digital audio effects 2011, John Wiley & Sons, Ltd. 2nd ed. U. Zölzer (Ed.).
13. Stern D. The first relationship 1977, Harvard University Press.
14. Streeter, E. (1979). A theoretical background to the interpretation of rhythmic skills with particular reference to the use of music therapy as an aid to the clinical assessment of pre-school children. MMus Thesis, Dept of Music, University of York.
15. Streeter E. Towards a theoretical understanding of rhythmic responses in music therapy. British society of music therapy. Monograph 1981, British Association of Music Therapy UK.
16. Streeter E. Making music with the young child with special needs 2001, Jessica Kingsley, London.
17. Streeter E. Reactions and responses from the music therapy community to the growth of computers and technology some preliminary thoughts. Voices: A world forum for music therapy 2007, www.voices.no.
18. Streeter, E. (2010). Computer aided music therapy evaluation: Investigating and testing the music therapy logbook prototype 1 system. PhD Thesis, Department of Music, University of York. http://etheses.whiterose.ac.uk/1201/.
19. Trevarthen C. Musicality and the intrinsic motive pulse: Evidence from human psychobiology and infant communication. Rhythms, musical narrative, and the origins of human communication Musicae Scientiae, special issue 1999-2000, European Society for the Cognitive Sciences of Music, Liege, pp. 157-213.
20. Verity, A. (2003). A computer aided music therapy analysis system - CAMTAS. D.Eng Thesis, Department of Engineering, University of York.
21. York E.F. A test-retest reliability study of the residual music skills test. Psychology of Music 2000, 28(2):174-180.