William Hartmann

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom William Hartmann trusts overall

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

  1. Anthony Rousseau
  2. Daniel Povey

Papers from William Hartmann's perspective

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

  1. The Kaldi Speech Recognition Toolkit
  2. Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
  3. Deep convolutional neural networks for LVCSR
  4. Learning to Forget: Continual Prediction with LSTM
  5. Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI
  6. Improving deep neural network acoustic models using generalized maxout networks
  7. Finding consensus in speech recognition: word error minimization and other applications of confusion networks (Computer Speech and Language)
  8. An introduction to computational networks and the computational network toolkit (invited talk)
  9. XenC: An Open-Source Tool for Data Selection in Natural Language Processing
  10. Long Short-Term Memory

Their papers