Login / Signup

An autoencoder neural-network based low-dimensionality approach to excitation modeling for HMM-based text-to-speech.

Srikanth VishnubhotlaRaul FernandezBhuvana Ramabhadran
Published in: ICASSP (2010)
Keyphrases
  • text to speech
  • low dimensionality
  • speech synthesis
  • hidden markov models
  • prosodic features
  • co occurrence
  • neural network
  • programming tool
  • computer vision
  • multiscale
  • high dimensional
  • natural images