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Speech and Personality Florian Metze National Science Foundation, - PowerPoint PPT Presentation

Speech and Personality Florian Metze National Science Foundation, May 7, 2015 Florian Metze What s in Speech That s Not in Text Analysis of Personality in Speech New paradigms: articulatory features & deep


  1. “ Speech and Personality ” Florian Metze National Science Foundation, May 7, 2015

  2. Florian Metze “ What ’ s in Speech That ’ s Not in Text ” • Analysis of Personality in Speech • New paradigms: articulatory features & deep learning • Customized Speech Recognition • Low resource ASR, ASR for non-experts • Speech in Healthcare • Large-scale Multi-media Analysis • Analysis of non-speech audio

  3. Personality in Speech • No role whatsoever in current speech technology (recognition or synthesis)

  4. State of the Art Personality in Speech • No direct way of measuring personality, instead using questions like “ I like to have people around me ” • Classification and Regression of manually labeled data • Self-assessment or external assessment? • Very few databases available • We can always engineer a specific, single “ good enough ” solution, but we ’ ll never solve the problem (even with more data & labels)

  5. Automatic Prediction of Personality Ratings

  6. Analysis of Personality Impressions in Speech • Could help uncover the structure of personality traits • Only N-/ O- assignments and absolute magnitude of distances differ • 4 “ natural ” classes emerge: • All “ decreased ” (-) • C+ and A+ • E+ and O+ • N+

  7. Challenges • Building isolated “ good enough ” solutions won ’ t advance understanding and never result in scalable approaches • We need more than just speech and audio information, we want • Text, Image, Video • Non-English data, cultural differences • Synthesis ⟷ recognition • For “ personality ” to generalize, we need richer data, and scale opportunity to work for and with non-speech experts • HCI folks, roboticists, doctors/ therapists, ethnologists, …

  8. Solution 1: “ Robustness to User ” • Speech processing must become “ universal cultural skill ” • Same as text processing • Not every college graduate will have the opportunity to attend classes at CMU/ LTI • Step up speech processing (self-)education • Stop thinking about tools, data, labels, etc. in isolation • Think about experiments & solutions, “ work-benches ”

  9. Solution 2: “ MM Twitter ” Can you fly this thing? Not yet. [ … ] Let ’ s go!

  10. Thank You! Questions?

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