Wenbo Liu
Artificial Intelligence · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #21,339 of 35,345 by trust here, #31,361 by citations
- Signal Processing — 19 citations into it; #4,378 of 7,572 by trust here, #6,591 by citations
- Speech & Audio — 7 citations into it
Whom Wenbo Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Stolcke
- Najim Dehak
- Patrick Kenny
- Hynek Hermansky
- William M. Campbell
- Andrew O. Hatch
- Simon J. D. Prince
- Yun Lei
- Douglas A. Reynolds
- Susannah Young
Who trusts Wenbo Liu overall
Papers from Wenbo Liu's perspective
Ordered by how strongly the researchers Wenbo Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Eigenvoice modeling with sparse training data (IEEE Transactions on Speech and Audio Processing)
- Tandem connectionist feature extraction for conventional HMM systems
- Front-End Factor Analysis for Speaker Verification
- Within-class covariance normalization for SVM-based speaker recognition (Interspeech)
- Probabilistic Linear Discriminant Analysis for Inferences About Identity
- Support vector machines using GMM supervectors for speaker verification
- SRILM - an extensible language modeling toolkit
- Language Recognition via i-vectors and Dimensionality Reduction
- A novel scheme for speaker recognition using a phonetically-aware deep neural network
- Deep neural networks for small footprint text-dependent speaker verification
Their papers
- Generalized I-vector Representation with Phonetic Tokenizations and Tandem Features for both Text Independent and Text Dependent Speaker Verification (2015) — 21 citations
- Speaker verification and spoken language identification using a generalized i-vector framework with phonetic tokenizations and tandem features (2014) — 29 citations