Exploring A Zero-Order Direct Hmm Based On Latent Attention For Automatic Speech Recognition

This video program is a part of the Premium package:

Exploring A Zero-Order Direct Hmm Based On Latent Attention For Automatic Speech Recognition


  • IEEE MemberUS $11.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $11.00
  • Non-IEEE MemberUS $15.00
Purchase

Exploring A Zero-Order Direct Hmm Based On Latent Attention For Automatic Speech Recognition

0 views
  • Share
Create Account or Sign In to post comments
In this paper, we study a simple yet elegant latent variable attention model for automatic speech recognition (ASR) which enables an integration of attention sequence modeling into the direct hidden Markov model (HMM) concept. We use a sequence of hidden
In this paper, we study a simple yet elegant latent variable attention model for automatic speech recognition (ASR) which enables an integration of attention sequence modeling into the direct hidden Markov model (HMM) concept. We use a sequence of hidden