Ondrej Glembek

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #18,705 of 35,345 by trust here, #9,641 by citations
• Speech & Audio — 15 citations into it; #189 of 1,076 by trust here, #56 by citations
• Natural Language Processing — 9 citations into it

Whom Ondrej Glembek trusts overall

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

1. Patrick Kenny
2. Najim Dehak
3. David Talkin
4. Andreas Stolcke
5. Simon J. D. Prince

Who trusts Ondrej Glembek overall

1. Mirco Ravanelli
2. Shinji Watanabe
3. Daniel Povey
4. Andros Tjandra
5. Pawel Swietojanski
6. Vimal Manohar
7. William Chan
8. Yoshua Bengio
9. David Snyder
10. Yu Zhang

Papers from Ondrej Glembek's perspective

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

1. Speaker Verification Using Adapted Gaussian Mixture Models
2. A Study of Interspeaker Variability in Speaker Verification (IEEE Transactions on Audio, Speech, and Language Processing)
3. Semi-tied covariance matrices for hidden Markov models
4. Joint Factor Analysis of Speaker and Session Variability: Theory and Algorithms
5. Probabilistic Linear Discriminant Analysis for Inferences About Identity
6. Bayesian Speaker Verification with Heavy-Tailed Priors
7. Front-End Factor Analysis for Speaker Verification
8. A Neural Probabilistic Language Model
9. SRILM - an extensible language modeling toolkit
10. Weighted finite-state transducers in speech recognition

Their papers

• Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models (2010) — 196 citations
• Neural network based language models for highly inflective languages (2009) — 99 citations
• The subspace Gaussian mixture model - A structured model for speech recognition (2011) — 323 citations
• iVector-based discriminative adaptation for automatic speech recognition (2011) — 96 citations
• Neural Network Bottleneck Features for Language Identification (2014) — 142 citations
• Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification (2011) — 208 citations
• The Kaldi Speech Recognition Toolkit (2011) — 6,607 citations