The impact of Sensory Evaluation of Sound - past, present and future

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Mattila (2001) – (3) • Preference mapping performed using PLS-R1 model • Vector model found best suited • Explained variance: 96% of preference data • 92% correlation between measured and modelled data • Subjects tended to be broadly grouped Sensory Evaluation of Sound, Sensometrix 2012, Rennes, France 36
Lorho (2005-2010) Sensory Evaluation of Sound, Sensometrix 2012, Rennes, France 37
Page 1 and 2: The Impact of Sensory Evaluation of
Page 3 and 4: Domains of Sound
Page 5 and 6: The audio application • Is a fair
Page 7 and 8: Product sound • Product sound is
Page 9 and 10: Short historical i overview Some ke
Page 11 and 12: And for sound.. • Things started
Page 13 and 14: Reverberation • Understanding the
Page 15 and 16: 1975 - 1995 • More concert hall s
Page 17 and 18: A spa rse timeline of perceptua l e
Page 19 and 20: Summary of early concert hall works
Page 21 and 22: Staffeldt (1974) • Early applicat
Page 23 and 24: Nakayama (1971) • Early MDS based
Page 25 and 26: Gabrielsson (1974) • Analysis of
Page 27 and 28: Toole (1985) • Further analysis o
Page 29 and 30: Letowski (1989) • A good understa
Page 31 and 32: Zacharov (2001) • Adaption of des
Page 33 and 34: Zacharov (2001) - (3) • Preferenc
Page 35: Mattila (2001) - (2) Nr. Attribute
Page 39 and 40: Lorho (2005-2010) - (2) Sensory Eva
Page 41 and 42: Lorho (2005-2010) - (4) Parafac 2 s
Page 43 and 44: Lokki (2011) • Latest and most de
Page 45 and 46: Lokki (2011) - (3) Sensory Evaluati
Page 47 and 48: Sensory Evaluation of Sound, Sensom
Page 49 and 50: So what have we learnt 49
Page 51 and 52: Observations about CVP • CVP work
Page 53 and 54: What do we know about analysis tool
Page 55 and 56: Making this easier • Significant
Page 57 and 58: Conclusion • Sensory science has
Page 60 and 61: References (1) 1. W. Sabine, “Rev

The impact of Sensory Evaluation of Sound - past, present and future

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