Subjective evaluation of an emotional speech database for Basque Aholab Signal Processing Laboratory – University of the Basque Country Authors: I. Sainz, I. Saratxaga, E. Navas, I. Hernáez, J. Sanchez, I. Luengo, I. Odriozola

Index  Introduction  Corpus Design and Recording  Evaluation Process  Results  Conclusions & Work in Progress

Introduction Speech Synthesis  Intelligibility  Naturalness  Variability Emotional Speech  Prosody  Acoustic Features  Corpus Based Tecniques  Implicit Acoustic modeling

Corpus Design and Recording Aim  Emotional Corpus-based TTS  Prosodic and acoustic analysis Recording emotional speech  Spontaneous  Elicited  Acted 2 speakers, 702 sentences  1 hour per emotion

Corpus Design and Recording Big 6 Emotions

Evaluation Process Subjetive evaluation campaign  30 stimuli per actor  Forced choice 20 Subjects  11 native speakers

Results Confusion Matrix Recognition average 76.6%  Far above chance level 17%

Results Confusion Matrices(Actress & Actor) Average 75.83% Average 76.50%

Results Effects of Listeners Student’s t-test  Determine if the hypothesis is true Groups (recognition rate)  Women (72.78%) Vs Men (77.62%)  Not significant (95% confidence interval)  Native speakers (77.12%) Vs Non-native (75%)  Not significant (95% confidence interval)  1 st Half of the test (72.64%) Vs 2 nd Half (79.7%)  t=2.85  p= < 0.05 Significant!  Recognition rate increase of 7% –Almost constant for all groups

Conclusions & Work in progress Valid resource of emotional speech for Basque language  Emotions readily recognized for both actors Study and modeling of emotional speech Corpus based TTS with emotions  Neutral already developed

Subjective evaluation of an emotional speech database for Basque Aholab Signal Processing Laboratory – University of the Basque Country Authors: I. Sainz, I. Saratxaga, E. Navas, I. Hernáez, J. Sanchez, I. Luengo, I. Odriozola