Submodular Rank Aggregation On Score-Based Permutations For Distributed Automatic Speech Recognition

This video program is a part of the Premium package:

Submodular Rank Aggregation On Score-Based Permutations For Distributed Automatic Speech Recognition


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

Submodular Rank Aggregation On Score-Based Permutations For Distributed Automatic Speech Recognition

0 views
  • Share
Distributed automatic speech recognition (ASR) requires to aggregate outputs of distributed deep neural network (DNN)-based models. This work studies the use of submodular functions to design a rank aggregation on score-based permutations, which can be us
Distributed automatic speech recognition (ASR) requires to aggregate outputs of distributed deep neural network (DNN)-based models. This work studies the use of submodular functions to design a rank aggregation on score-based permutations, which can be us