Scott Novotney

2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Scott Novotney trusts overall

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

  1. Jeff Z. Ma
  2. Richard M. Schwartz
  3. Lori Faith Lamel

Who trusts Scott Novotney overall

  1. Karel Veselý
  2. Yu Zhang
  3. Lukáš Burget
  4. Yu-An Chung
  5. Wei Han
  6. James Qin
  7. Mirko Hannemann
  8. Daniel S. Park
  9. Chung-Cheng Chiu
  10. Jan Honza Cernocký

Papers from Scott Novotney's perspective

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

  1. Lightly supervised and unsupervised acoustic model training
  2. Unsupervised versus supervised training of acoustic models
  3. UTILIZING UNTRANSCRIBED TRAINING DATA TO IMPROVE PERFORMANCE
  4. Unsupervised Training on Large Amounts of Broadcast News Data
  5. Front-End Factor Analysis for Speaker Verification
  6. Approaches to language identification using Gaussian mixture models and shifted delta cepstral features (Interspeech)
  7. Statistical methods for speech recognition
  8. A path-stack algorithm for optimizing dynamic regimes in a statistical hidden dynamic model of speech
  9. Spontaneous speech recognition using a statistical coarticulatory model for the vocal-tract-resonance dynamics.
  10. An investigation of segmental hidden dynamic models of speech coarticulation for automatic speech recognition

Their papers