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134th AES CONVENTION Rome, Italy – 2013 May 4-7. Convention Paper 8823. User-Driven Quality Enhancement for Audio Signal Processing. D. Comminiello , S. Scardapane, M. Scarpiniti, A. Uncini. 2013 May 4-7. Outline of the Talk. (1). Problem Definition Our Framework. (2).

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slide1

134th AES CONVENTION

Rome, Italy – 2013 May 4-7

Convention Paper8823

User-Driven Quality Enhancement

for Audio Signal Processing

D. Comminiello, S. Scardapane, M. Scarpiniti, A. Uncini

outline of the talk

2013 May 4-7

Outline of the Talk
  • (1)
  • Problem Definition
  • Our Framework
  • (2)
  • Applications
    • Immersive Speech, Games…
  • (3)
  • Preliminary Results
  • Conclusions
understanding the user

2013 May 4-7

Understanding the User

Development

Stage

???

Personal Judgement

Audio Processor

evaluation procedures

2013 May 4-7

Evaluation Procedures
  • ObjectiveIndexes
  • PsychoacusticModels
  • SubjectiveTests
our approach

Possible

Enhanced

Audio

2013 May 4-7

OurApproach
interactive evolutionary algorithm

2013 May 4-7

Interactive EvolutionaryAlgorithm

Subjective

Evaluation

«Reproduction»

New Pool

Selection

Pool of PossibleSettings

main drawbacks

2013 May 4-7

MainDrawbacks

User

Fatigue

Time

Constraint

User

Discrimination

Partial

Ordering

Fast convergenceobtained with fewpossible fitness values

our proposal

2013 May 4-7

OurProposal

IEC hasbeenseldomlyusedin audio processing applications.

Webelieveit to be of practicalinterest for a wide range of tasks.

Thisis the mainreasonwe are proposingthisframework.

applications forensic audio

2013 May 4-7

Applications – Forensic Audio

Forensic

Audio

(Image property of SoundAndSound)

applications immersive experience

2013 May 4-7

Applications – Immersive Experience

Immersive

Audio

(Image property of Integrated Media Systems Center)

test setup

2013 May 4-7

Test Setup

Five signalsdistorted by female voice.

Echocancellationthroughaffine projectionalgorithm (APA) with 4 parameters.

A standard GA minimizesnormalizedmisalignment:

An IGA shouldminimizeuser’spreferences.

test setup workflow

2013 May 4-7

Test Setup - Workflow

OriginalSignals

Standard

Minimization

IEC Minimization

Set 2

Set 1

SubjectiveComparison

conclusions

2013 May 4-7

Conclusions

Goodresults of ourframework on AEC.

User fatigueis the maindrawback to be confronted.

Severalapplicationsawaits in the future.

Possiblecombination of objective and subjectivemeasurements.