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Handout 1 © Sivantos Pte. Ltd. 2016. All rights reserved. Sivantos is a trademark licensee of Siemens AG Consideration of Physical and Perceptual factors in Aided Music Listening Maja Serman, Research audiologist Mirko Arnold, Sound engineer HAfM 2017, Serman & Arnold 2 MOTIVATION HAfM 2017, Serman & Arnold 3 MOTIVATION NORMAL HEARING SENSITIVITY 4 Intensity [dB re 20 μPa] Normal hearing sensitivity at thresholds. Discomfort levels HAfM 2017, Serman & Arnold IMPAIRED HEARING SENSITIVITY, GAIN and DYNAMIC RANGE (DR) 5 Intensity [dB re 20 μPa] HI NH Discomfort levels DR av. normal hearing DR hearing loss HAfM 2017, Serman & Arnold HAfM 2017, Serman & Arnold HA PROCESSING: DYNAMIC RANGES 6 20 dB SPL 120 dB SPL Soft Medium Loud Soft Loud 110 dB SPL 50 dB SPL DR normal hearing DR hearing impaired DR hearing aid Input Range of HA Distortion Internal Noise Medium 20 dB SPL 120 dB SPL

Hearing Aids for Music - Handout 1...Handout 3 HAfM 2017, Serman & Arnold The original study, designed by Veronika Littmann and colleagues from UWO. For more details see Vaisberget

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Page 1: Hearing Aids for Music - Handout 1...Handout 3 HAfM 2017, Serman & Arnold The original study, designed by Veronika Littmann and colleagues from UWO. For more details see Vaisberget

Handout 1

© Sivantos Pte. Ltd. 2016. All rights reserved.Sivantos is a trademark licensee of Siemens AG

Consideration of Physical and Perceptual factors in AidedMusic Listening

Maja Serman,Research audiologist

Mirko Arnold,Sound engineer

HAfM 2017, Serman & Arnold 2

MOTIVATION

HAfM 2017, Serman & Arnold 3

MOTIVATION NORMAL HEARING SENSITIVITY

4

Inte

nsity

[dB

re20

µPa]

Normal hearing sensitivity at thresholds.

Discomfort levels

HAfM 2017, Serman & Arnold

IMPAIRED HEARING SENSITIVITY, GAIN and DYNAMIC RANGE (DR)

5

Inte

nsity

[dB

re20

µPa]

HI

NH

Discomfort levels

DRav. normal hearing

DRhearing loss

HAfM 2017, Serman & Arnold HAfM 2017, Serman & Arnold

HA PROCESSING: DYNAMIC RANGES

6

20 dBSPL

120 dBSPL

Soft

Medium

Loud

Soft

Medium

Loud110 dBSPL

50 dBSPL

DRnormal hearing DRhearing impairedDRhearing aid

InputRange

ofHA

Distortion

InternalNoise

Medium

20 dBSPL

120 dBSPL

Page 2: Hearing Aids for Music - Handout 1...Handout 3 HAfM 2017, Serman & Arnold The original study, designed by Veronika Littmann and colleagues from UWO. For more details see Vaisberget

Handout 2

Target gain curve for loud (80 dB) input signal

Target gain curve for medium (65 dB) input signal

Target gain curve for soft (50 dB) input signal

HAfM 2017, Serman & Arnold 7

HA PROCESSING: GAIN

Simulated insertion gain, pink noise, primax fit.

HAfM 2017, Serman & Arnold

Release time

Release time:Time needed for the gain for the softinput level to come back to its full value.

Input level

Output level

Attack time

Attack time:Time needed for the gain for theloud input signal to drop (to thewished for value).

Characteristic gain curve:More gain for soft than for loudinput levels.

Compression

= linear amplification

8

HA PROCESSING: COMPRESSION

I

O

t

Li

Input

t

Lo

Output

Fast compression (10ms attack / 100ms release times)

Slow compression (ca.900ms attack / 1500ms release times)

I

O

t

Li

t

Lo

Input Output

High sound quality, but short, loud sounds will be overamplified.

Fast reaction to loud sounds, loss of sound quality.

HA PROCESSING: COMPRESSION

9

modulation analysis

transient noisesstreet noisefan noise

microphone noise

noises with very slow modulationimpulse like noisesfast changes

speech and speechinterferers

HAfM 2017, Serman & Arnold

desired

undesired

Directionality and direction dependent noise reduction:

most interestingrange

HA PROCESSING: NOISE REDUCTION & DIRECTIONALITY

10

General idea:- Leave the sound as natural as possible (less processing)

- But! Have “emergency breaks“ (fast compression for abrupt level changes)- Wide dynamic range and optimised gain shape for music .

Expected:Ø Quieter environmentØ More compressed music

Hearing Aids (HA):♪ Emphasis on linearity

(slow compression)♪ TruEar (simulated pinna

directionality)

Expected:Ø Louder environment,Ø More dynamics

Hearing Aids (HA):♪ Less adaptivity – to

preserve the dynamics♪ TruEar

RECORDED

MUSICMUSICIANSETTING

LIVE MUSIC

Expected:Ø Louder environment,Ø More dynamics

Hearing Aids (HA):♪ Adaptive compression♪ Moderate directionality

HAfM 2017, Serman & Arnold 11

THREE DIFFERENT MUSIC PROGRAMS

N = 26:Ø 15 male, 11 femaleØ Age = 20-84 (M = 70,8) yearsØ Bilateral sensorineural hearing lossØ Pure tone audiogram (PTA)

PTA (0.5, 1, 2, 4) = 50 dBØ Experienced HA user

Sound quality ratings:♪ 5 music examples♪ Recordings with 5 different HAs,

generic formula(reference), anchor♪ Headphones

N = 2 Case studiesØ Active musicians

♪ Singer,♪ Trombonist

One week of usual music practice

RECORDED

MUSIC

MUSICIANSETTING

HAfM 2017, Serman & Arnold 12

STUDY AT NATIONAL CENTRE FOR AUDIOLOGY;UNIVERSITY OF WESTERN ONTARIO (UWO)

Page 3: Hearing Aids for Music - Handout 1...Handout 3 HAfM 2017, Serman & Arnold The original study, designed by Veronika Littmann and colleagues from UWO. For more details see Vaisberget

Handout 3

HAfM 2017, Serman & Arnold

The original study, designed byVeronika Littmann andcolleagues from UWO.

For more details see Vaisberg etal. 2017. “Comparison of musicsound quality between hearingaids and music programs.”AudiologyOnline.

UWO STUDY: OVERALL RESULTS

13

Poorsoundquality

Excellentsoundquality

Excellentsoundquality

Poorsoundquality

Music Program recordingsUniversal Program recordings

HAfM 2017, Serman & Arnold 14

DO RATINGS FOR MUSIC & UNIVERSAL PROGRAM DIFFER?

Average of 5different HAs(4 manufacturers).

Average of 3different HAs (2manufacturers).

HAfM 2017, Serman & Arnold 15

DO RATINGS FOR MUSIC & UNIVERSAL PROGRAM DIFFER?

HAfM 2017, Serman & Arnold

STYLES RATED BETTER WITH MUSIC PROGRAM

16

HAfM 2017, Serman & Arnold 17

THE CASE OF REFERENCE & FAVOURITE MUSIC

Simulated insertion gain, pink noise, primax fit.

Simulated insertion gain, pink noise, DSL v5.

Tonal Working Memory Test (TWM)

• Stimuli: sinus tones

• No of trials: 8

• No of distractors: 6

• Task: same or different

• Pitch change: 0 & 1.9 semitone

• Outcome: % correct and reaction time

Questions:

• Self-reported difficulties in speech in noise (SiN)

• Outcome expectancy

• Loudness sensitivity

• Music listening habit

• Age, PTA, HA Experience

• Music education/current musical activities

HAfM 2017, Serman & Arnold 18

DO RATINGS DIFFER AS A FUNCTION OF INDIVIDUAL FACTORS?

Page 4: Hearing Aids for Music - Handout 1...Handout 3 HAfM 2017, Serman & Arnold The original study, designed by Veronika Littmann and colleagues from UWO. For more details see Vaisberget

Handout 4

DO RATINGS DIFFER AS A FUNCTION OF INDIVIDUAL FACTORS?

Musicianship ?Musicianship ?

Tonal workingmemory ?

Musiclisteninghabit ?

Loudnesstolerance ?Loudness

tolerance ?

Speech innoise

problems ?UniversalProgram

MusicProgram

19

• Music listening habit

Ninfrequent = 8Nfrequent = 14

♪ There were no significantdifferences in Age and PTAbetween the two groups.

♪ There were no sig. differencesbetween the 2 programs in thegroup of frequent listeners.

HAfM 2017, Arnold & Serman

• Musicianship

20

Nmusician = 11Nnonmusician = 15

♪ There were no significantdifferences in Age and PTAbetween the two groups.

♪ There were no sig. differencesbetween the 2 programs in thegroup musicians.

DO RATINGS DIFFER AS A FUNCTION OF INDIVIDUAL FACTORS?

• Tonal working memory

• Self reported speech in noise(SiN) problems

HAfM 2017, Arnold & Serman 21

NGoodTWM = 6NBadTWM = 6

♪ There were no significantdifferences in Age and PTAbetween the two groups.

♪ There were no sig. differencesbetween the 2 programs in theremaining 3 groups.

NGood SiN = 9Nbad SiN = 13

♪ There were no significant differencesin Age and PTA between the twogroups.

♪ There were no sig. differencesbetween the 2 programs in the groupwith self-reported SiN problems.

DO RATINGS DIFFER AS A FUNCTION OF INDIVIDUAL FACTORS?

HAfM 2017, Arnold & Serman

• Self-reported loudness tolerance

22

Nloud tolerant = 5Nloud intolerant = 17

♪ There were no significantdifferences in Age and PTAbetween the two groups.

♪ There were no sig. differencesbetween the 2 programs in thegroup that could tolerate loudsounds better.

DO RATINGS DIFFER AS A FUNCTION OF INDIVIDUAL FACTORS?

SUMMARY: INDIVIDUAL FACTORS INFLUENCING MUSIC PROGRAM RATINGS

Musicianship:none

Musicianship:none

Tonal working memory:slow and bad

Music listening:infrequent

Loudnesstolerance: low

Loudnesstolerance: low

Speech in noiseproblems: noneMusic

Program

HAfM 2017, Serman & Arnold23

• Two active musicians from the study were fitted with Primax HAs,with the Musician Setting Program, and were asked to try theHAs out for one week and compare them to their owninstruments.

HAfM 2017, Arnold & Serman 24

MUSIC PERFORMANCE PROGRAM: 2 Case Studies

PrimaxMusicianSetting

Own HA PrimaxMusicianSetting P

Own HA

Page 5: Hearing Aids for Music - Handout 1...Handout 3 HAfM 2017, Serman & Arnold The original study, designed by Veronika Littmann and colleagues from UWO. For more details see Vaisberget

Handout 5

♪ We found evidence for better sound quality ratings of the music program over the

universal program.

♪ These are style specific: Sound quality of classical, jazz and folk music was rated

significantly higher when listened with music program across 3 different HAs.

♪ Individual factors musicianship, music listening habit, loudness sensitivity and tonal

working memory influence sound quality ratings for music and universal program.

♪ Music performance program was rated as highly successful in 2 case studies, the

only critical point being listening to speech and music signal at the same time.

HAfM 2017, Serman & Arnold 25

SUMMARY

© Sivantos Pte. Ltd. 2016. All rights reserved.Sivantos is a trademark licensee of Siemens AG

THE FUTURE

♪Measure uncomfortable sound levels

(and match DRmusic and DRindividual)

♪ Do not use only musicians as subjects

♪ Investigate individual tastes

♪ Musical style, musical taste and other

individual factors of the subject should

be intelligently recognized by the music

program

RD AUD Sivantos, Erlangen: National Centre for Audiology,University of Western Ontario, Canada:

Veronika Littmann

Kaja Kallisch

Maren Schuelke

Paula Folkeard

Susan Scollie

HAfM 2017, Serman & Arnold 27

ACKNOWLEDGEMENTS

Jonathan Vaisberg

APPENDICES

INDIVIDUAL FACTORS INFLUENCING MUSIC LISTENING WITH HAS

Musicalbackground

Tonal workingmemory

Music listening habit Speech in noiseproblems

Loudnesssensitivity

Definition

actively creatingmusic• currently plays

instrument• sings in a choir

at least twice aweek

Outcome measuresTWM test:Mean split % correctMean split Reactiontime:Good TWM: Good &fastBad TW: Bad & slow

How often do youlisten to music?Rarely = (never), fewtimes/month, fewtimes/weekOften = every day

When I sit together witha group of people in abusy environment, I canfollow the conversation.Bad SiN = strongly disagree,slightly disagreeGood SiN = slightly agree,strongly agree

I feeluncomfortable inloud environments.Robust = stronglydisagree, slightlydisagreeSensitive = slightlyagree, strongly agree

PTA,Age,TWM

PTA, Age:no sig.differencesbetween bothgroups

PTA, Age:no sig. differencesbetween both groups

PTA low:group “often” has asig. higher HL below1 kHz (t = -2.195, p <.05 *)PTA, Age, TWM:no sig. differencesbetween bothgroups

PTA, Age:no sig. differencesbetween both groups

PTA, Age:no sig. differencesbetween bothgroupsTWM:group robust has ahigher % correct (z= -1.803, p = .101)

N Nmusician = 11Nnonmusician = 15

Ngood&fast = 6Nbad6slow = 6

Nrarely = 8Noften = 14

NGood SiN = 9NBadb SiN = 13

Nrobust = 5Nsensitive = 17

29