Speech Production Features for Deep Neural Network Acoustic Modeling - 2015

Speech Production Features for Deep Neural Network Acoustic Modeling - 2015

Center for Language & Speech Processing(CLSP), JHU via YouTube Direct link

Intro

1 of 12

1 of 12

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Speech Production Features for Deep Neural Network Acoustic Modeling - 2015

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Speech production knowledge (SPK) for
  3. 3 Speech production knowledge for
  4. 4 An Example of the potential utility of using a measured Articulatory (+Acoustic) Domain
  5. 5 Motivations from neurophysiology of speech perception
  6. 6 Properties of the Acoustic-to-Articulatory Mapping
  7. 7 Autoencoders for AF transformation
  8. 8 Limitations of the approach
  9. 9 Alternative Approaches
  10. 10 Using Phonological Embeddings
  11. 11 Results - 2
  12. 12 Speaker-dependent phone recognition results-2 Mocha-timit, different noise conditions. Training on clean speech

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.