Joel Pinto

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Joel Pinto trusts overall

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

  1. D. Ellis
  2. Hervé Bourlard
  3. Hynek Hermansky
  4. Anthony J. Robinson
  5. Nelson Morgan
  6. Daniel Povey
  7. Kai-Fu Lee
  8. Frantisek Grézl
  9. Philip C. Woodland
  10. Hsiao-Wuen Hon

Who trusts Joel Pinto overall

  1. Li Deng
  2. László Tóth
  3. Ming Li
  4. Hervé Bourlard
  5. Xiao Li
  6. Wenbo Liu
  7. Sibo Tong
  8. Fabian Triefenbach
  9. Philip N. Garner

Papers from Joel Pinto's perspective

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

  1. Connectionist Speech Recognition: A Hybrid Approach
  2. Efficient BackProp
  3. Tandem connectionist feature extraction for conventional HMM systems
  4. fMPE: discriminatively trained features for speech recognition (Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.)
  5. Minimum Phone Error and I-smoothing for improved discriminative training
  6. An application of recurrent nets to phone probability estimation
  7. SWITCHBOARD: telephone speech corpus for research and development
  8. Speaker-independent phone recognition using hidden Markov models
  9. Probabilistic and Bottle-Neck Features for LVCSR of Meetings (IEEE International Conference on Acoustics, Speech, and Signal Processing)
  10. Multilingual MLP features for low-resource LVCSR systems

Their papers