Daniel Willett

2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Daniel Willett trusts overall

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

1. Hynek Hermansky
2. Hervé Bourlard

Who trusts Daniel Willett overall

1. Hervé Bourlard

Papers from Daniel Willett's perspective

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

1. Probabilistic and Bottle-Neck Features for LVCSR of Meetings (IEEE International Conference on Acoustics, Speech, and Signal Processing)
2. Tandem connectionist feature extraction for conventional HMM systems
3. Multilingual MLP features for low-resource LVCSR systems
4. Connectionist Speech Recognition: A Hybrid Approach
5. Cross-Domain and Cross-Language Portability of Acoustic Features Estimated by Multilayer Perceptrons
6. Perceptual linear predictive (PLP) analysis of speech.
7. A study on multilingual acoustic modeling for large vocabulary ASR
8. RASTA processing of speech
9. Size matters: an empirical study of neural network training for large vocabulary continuous speech recognition
10. Minimum Phone Error and I-smoothing for improved discriminative training

Their papers

• Investigation on cross- and multilingual MLP features under matched and mismatched acoustical conditions (2013) — 54 citations