perceptual effects of noise mitigation

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4/5/2013 1 Hosanna Workshop Monday, December 10, 2012 Tekniska nämndhuset, Fleminggatan 4, Stockholm, Sweden Perceptual Effects of Noise Mitigation Mats Nilsson Stockholm University (Group data 30 listeners) Aweighted sound pressure level Perceived loudness (PNE) 42 46 50 54 58 62 66 70 74 78 48 52 56 60 64 68 72 76 80 84 Large Moderate Small Proportion of low- frequency sound Perceived Loudness vs. Aweighted sound pressure level

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Page 1: Perceptual Effects of Noise Mitigation

4/5/2013

1

Hosanna Workshop Monday, December 10,  2012 

Tekniska nämndhuset, Fleminggatan 4, Stockholm, Sweden 

Perceptual Effects of Noise Mitigation

Mats NilssonStockholm University

(Group data 30 listeners)

A‐weighted sound pressure level

Perceived loud

ness (P

NE)

42

46

5054

58

62

6670

74

78

48 52 56 60 64 68 72 76 80 84

LargeModerate

Small

Proportion of low-frequency sound

Perceived Loudnessvs. A‐weighted sound pressure level

Page 2: Perceptual Effects of Noise Mitigation

4/5/2013

2

L*A = LA + 0.4[LC‐LA]

42

46

50

54

58

62

66

70

74

78

52 56 60 64 68 72 76 80 84 88

LargeModerate

Small

Proportion of low-frequency sound

Perceived loud

ness (P

NE)

BarrierNo barrier

No barrier Barrier

LAeq [dB] 82 73LC‐LA [dB] 2 7LA10 [dB] 86 76

LA10‐90 [dB] 13 8LZ [dB] 98 91

sharpness [acum] 4.33 3.09

distance 3.7 m, height 1.25

LevelSpectral contentVariabilityImpulsesTonality

Acoustics and Annoyance

Page 3: Perceptual Effects of Noise Mitigation

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Auditory Masking

Low‐frequency sounds masks high‐frequency sounds more than the other way around

Page 4: Perceptual Effects of Noise Mitigation

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4

Microphone

Feature extraction

SOM

Concept layer

Known information

Classification of sound type

Excitation of possible sound sources

Bias towards plausible sounds

Bias towards known present sounds sources

I.

II.

III.

...

Overview of the biologically inspired sound recognition model

I. Choosing the best featuresII. Self organizing, unsupervised training, 

mapping co‐occurrenceIII. Supervised learning of concepts

0 2 4 6 8 10 12 14 16 180

0,4

Concep

t neu

ron activation (AU)

Time (s)Children playingTraffic soundBusPeople talking

Activation of concepts and most probably labels for a passage of sound recorded at the Lyon case study

Notice‐Event ModelDick Botteldooren, Bert De Coensel 

Ghent University 

0

20

40

60

80

100 Nature soundsHuman soundsTechnological sounds

Proport

ion (

%)

”hea

rd o

ften

” or

”dom

inat

es c

om

ple

tely

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Wanted and Unwanted Sounds

Area number(Soundscape quality rank order)

Stockholm park study, 2006

Nilsson & Lindqvist (2006)

Page 5: Perceptual Effects of Noise Mitigation

4/5/2013

5

Environmental quality

Nilsson, Jeon, et al. (2012)

Site C

Site

0

.2

.4

.6

.8

1

B

Pro

porti

on ”g

ood”

or ”

very

goo

d”

A EF C D

Overall environment

Visual environment

Soundscape

Tranquility

Site

Tran

quilit

y sc

ore

(95

% C

I)

Multiple regression equation:Tranquility score = constant + 0.41*visual + 0.43*soundscape, R2 = 0.66

Page 6: Perceptual Effects of Noise Mitigation

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6

Tranquility

TR = 9.68 + 0.041 NCF – 0.146 Lday + MF

Watts, Pheasant, Horoshenkov, et al. (University of Bradford)

TRAPT (Tranquillity RAting Prediction Tool)

’tranquil spaces’

Audio‐visual interactionsJeon. et al. (2012) Hanyang University

Page 7: Perceptual Effects of Noise Mitigation

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7

1. Reduce audibility of unwanted sounds

2. Increase audibility of wanted sounds

3. Improve scenery

Perceptual Effects of Noise Mitigation

Vegetated barrier Lyon

Page 8: Perceptual Effects of Noise Mitigation

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8

Measurements

Questionnaires

Page 9: Perceptual Effects of Noise Mitigation

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9

Proport

ion (

%)

“ver

y” o

r “e

xtre

mel

y” a

nnoy

ed

q12

Road‐traffic noise annoyance (“ISO‐question”)

Overall sound level (LAeq,4h)

0

20

40

60

80

100

40 45 50 55 60 65

Stockholm park study, 2006

No barrierBarrier

Lyon, 2011

0

20

40

60

80

100

40 45 50 55 60 65

Proport

ion (

%)

good +

very

good s

ound e

nvi

ronm

ent

Overall sound level (LAeq,4h)

q10Stockholm park study, 2006

Quality sound environment

No barrierBarrier

Lyon, 2011

Page 10: Perceptual Effects of Noise Mitigation

4/5/2013

10

1/3-octave-band center frequency (Hz)

1/3‐octave‐band soun

d pressure level (dB

)

No barrier ≈ 68 dBA

30

35

40

45

50

55

60

65

70

75

31.5 63 125 250 500 1k 2k 4k 8k 16k

Barrier ≈ 63 dBA

Spectrum with and without barrier

Distance roadside: 4 m, height: 1.25 m

58

60

62

64

66

68

70

72

74

76

No barrier2

4

6

8

10

12

14

16

6

8

10

12

14

16

18

20

22

Barrier No barrier Barrier No barrier Barrier

Level Relative low-frequency content Variability

LAeq

,10m

in(dB)

LCeq

‐LAe

q(dB)

LA10

‐LA

90(dB)

Box-plots of acoustic variables

Page 11: Perceptual Effects of Noise Mitigation

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11

Perceived Noise Annoyance

Rule of Thumb: L* = LA + 0.4(LA‐LC)

20

25

30

35

40

45

50

55

60

63 65 67 69 71 73 75 77 79 81 83

No barrierBarrier

A‐weighted sound pressure level [dB(A), LAeq,4s]

Perceived anno

yance

(magnitude

 estim

ation scale)

Page 12: Perceptual Effects of Noise Mitigation

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12

1.0

1.2

1.4

1.6

1.8

2.0

45 50 55 60 65 70 75 80

A‐weighted sound pressure level, dB (LAeq,8s)

Perceive ann

oyance (LogR)

Perceived Noise Annoyance

No barrierBarrier (4.6 m high) 

A‐weighted sound pressure level, dB (LAeq,8s)

Perceive ann

oyance (LogR)

Perceived Annoyance

No barrier (200 m distance)Barrier (10‐50 m distance) 

1.2

1.3

1.4

1.5

1.6

1.7

46 48 50 52 54 56 58 60

Page 13: Perceptual Effects of Noise Mitigation

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13

Tram noise and ground effects

Hard ground

Tram noise recordings, Grenoble 2012

Soft ground

Page 14: Perceptual Effects of Noise Mitigation

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14

Pass-by recordings

4 s76 experimental sounds

LAeq,4s

61

62

63

64

65

66

67

68

69

70

71

Close Far

Far track (7 m)

1/96‐octave‐band center frequency (Hz)

1/96

‐octave‐band

 SPL (d

B)

1/96‐octave‐band center frequency (Hz)

Close track (4 m)

1/96‐octave‐band spectra

10

15

20

25

30

35

40

45

50

55

60

25 50 100 200 400 800 1600 3200 6400 12800

asphalt close

grass close

10

15

20

25

30

35

40

45

50

55

60

25 50 100 200 400 800 1600 3200 6400 12800

asphalt far

grass far

Page 15: Perceptual Effects of Noise Mitigation

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15

Perceived Annoyance

1. Grass versus Asphalt

P(grass m

ore anno

ying

 than

 asphalt)

Close Far

N = 19 pairs of tram recordings

40 % 12 %

0

.1

.2

.3

.4

.5

.6

.7

2. Pair comparison

LA, R2 = 0.86LA, ground: R2 = 0.95

61 62 63 64 65 66 67 68

A-weighted sound pressure level [dB(A), LAeq,4s]

Grass

Asphalt

Per

ceiv

ed a

nnoy

ance

(p

air c

ompa

rison

sca

le)

50

40

55

60

65

45

35

Verbal reports far distanceHigh frequency (14)Variability (10)Loudness (10)

Summary: Noise Mitigation Psychoacoustics  

• Not only level: also time variability and spectral changes

• Spectral changes influences (short‐term) noise annoyance

• dBA Insertion loss as indictor of perceptual change?

• Notice Event modelling (Ghent University)

• Auralization combined measures (CSTB, SU)

• Audio‐visual interactions (Hanyang University)

Further HOSANNA work