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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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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
2013 May 4-7 Outline of the Talk • (1) • Problem Definition • Our Framework • (2) • Applications • Immersive Speech, Games… • (3) • Preliminary Results • Conclusions
2013 May 4-7 Understanding the User Development Stage ??? Personal Judgement Audio Processor
2013 May 4-7 Evaluation Procedures • ObjectiveIndexes • PsychoacusticModels • SubjectiveTests
2013 May 4-7 ClassicalApproach
Possible Enhanced Audio 2013 May 4-7 OurApproach
2013 May 4-7 Interactive EvolutionaryAlgorithm Subjective Evaluation «Reproduction» New Pool Selection Pool of PossibleSettings
2013 May 4-7 MainDrawbacks User Fatigue Time Constraint User Discrimination Partial Ordering Fast convergenceobtained with fewpossible fitness values
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.
2013 May 4-7 Applications – Games Audio for Games
2013 May 4-7 Applications – Forensic Audio Forensic Audio (Image property of SoundAndSound)
2013 May 4-7 Applications – Immersive Experience Immersive Audio (Image property of Integrated Media Systems Center)
2013 May 4-7 Interactive AEC
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.
2013 May 4-7 Test Setup - Workflow OriginalSignals Standard Minimization IEC Minimization Set 2 Set 1 SubjectiveComparison
2013 May 4-7 Results
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.