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U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING C ONVENTION P APER 8823 D. C OMMINIELLO, S. S CARDAPANE, M. S CARPINITI, A. U NCINI.

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Presentation on theme: "U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING C ONVENTION P APER 8823 D. C OMMINIELLO, S. S CARDAPANE, M. S CARPINITI, A. U NCINI."— Presentation transcript:

1 U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING C ONVENTION P APER 8823 D. C OMMINIELLO, S. S CARDAPANE, M. S CARPINITI, A. U NCINI 134 TH AES CONVENTION R OME, I TALY – 2013 M AY 4-7

2 O UTLINE OF THE T ALK U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 (1) Problem Definition Our Framework (2) Applications Immersive Speech, Games… (3) Preliminary Results Conclusions

3 U NDERSTANDING THE U SER U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 Audio Processor Personal Judgement Development Stage ???

4 E VALUATION P ROCEDURES U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 Objective Indexes Psychoacustic Models Subjective Tests

5 C LASSICAL A PPROACH U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7

6 O UR A PPROACH U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 Possible Enhanced Audio

7 I NTERACTIVE E VOLUTIONARY A LGORITHM U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 Pool of Possible Settings Subjective Evaluation «Reproduction» Selection New Pool

8 M AIN D RAWBACKS U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 User Fatigue User Discrimination Fast convergence obtained with few possible fitness values Time Constraint Partial Ordering

9 O UR P ROPOSAL U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May IEC has been seldomly used in audio processing applications. 2.We believe it to be of practical interest for a wide range of tasks. 3.This is the main reason we are proposing this framework.

10 A PPLICATIONS – G AMES U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 A UDIO FOR G AMES

11 A PPLICATIONS – F ORENSIC A UDIO U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 F ORENSIC A UDIO (Image property of SoundAndSound)

12 A PPLICATIONS – I MMERSIVE E XPERIENCE U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 I MMERSIVE A UDIO (Image property of Integrated Media Systems Center)

13 I NTERACTIVE AEC U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7

14 T EST S ETUP U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7

15 T EST S ETUP - W ORKFLOW U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7 Original Signals IEC Minimization Set 1 Standard Minimization Set 2 Subjective Comparison

16 R ESULTS U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May 4-7

17 C ONCLUSIONS U SER -D RIVEN Q UALITY E NHANCEMENT FOR A UDIO S IGNAL P ROCESSING May Good results of our framework on AEC. 2.User fatigue is the main drawback to be confronted. 3.Several applications awaits in the future. 4.Possible combination of objective and subjective measurements.

18 T HANKS FOR YOUR ATTENTION !


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