Yushi Aono

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yushi Aono trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Hank Liao (in Artificial Intelligence)

Who trusts Yushi Aono

  1. Gabriel Skantze (in Artificial Intelligence)

Papers from Yushi Aono's perspective

Ordered by how strongly the researchers Yushi Aono trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distilling the Knowledge in a Neural Network (arXiv.org)
  2. Speaker adaptation of context dependent deep neural networks
  3. Learning small-size DNN with output-distribution-based criteria
  4. Speaker adaptation of neural network acoustic models using i-vectors
  5. Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code
  6. KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition
  7. Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models
  8. The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices
  9. A simplest systematics for the organization of turn-taking for conversation
  10. Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

Their papers