Daniel Pullella

Signal Processing · 2011

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Pullella trusts overall

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

  1. Douglas A. Reynolds
  2. C. Burges
  3. Tomi H. Kinnunen
  4. William M. Campbell
  5. Martin P. Cooke
  6. Richard C. Rose
  7. Haizhou Li

Who trusts Daniel Pullella overall

  1. Zhongxin Bai
  2. Xiao-Lei Zhang

Papers from Daniel Pullella's perspective

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

  1. Speaker Verification Using Adapted Gaussian Mixture Models
  2. Support vector machines for speaker and language recognition (Computer Speech and Language)
  3. An overview of text-independent speaker recognition: From features to supervectors
  4. A Tutorial on Support Vector Machines for Pattern Recognition
  5. RASTA processing of speech
  6. Robust text-independent speaker identification using Gaussian mixture speaker models
  7. Robust automatic speech recognition with missing and unreliable acoustic data (Speech Communication)
  8. Book Review: Auditory Scene Analysis: The Perceptual Organization of Sound
  9. Suppression of acoustic noise in speech using spectral subtraction
  10. An introduction to biometric recognition (IEEE transactions on circuits and systems for video technology (Print))

Their papers