✦ LIBER ✦

Eigenvoice modeling with sparse training data

✍ Scribed by Kenny, P.; Boulianne, G.; Dumouchel, P.

Book ID: 117935920
Publisher: IEEE
Year: 2005
Tongue: English
Weight: 230 KB
Volume: 13
Category: Article
ISSN: 1063-6676
DOI: 10.1109/tsa.2004.840940

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Multiple fuzzy neural networks modeling

Multiple fuzzy neural networks modeling with sparse data

✍ Cruz Vega Israel; Wen Yu 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 373 KB

Modeling Uncertain Sparse Data with Fuzz

Modeling Uncertain Sparse Data with Fuzzy B-splines

✍ Angelo Marcello Anile; Salvatore Spinella 📂 Article 📅 2004 🏛 Springer 🌐 English ⚖ 180 KB

Combining computational modeling with sp

Combining computational modeling with sparse and low-resolution data

✍ Michael Habeck; Michael Nilges 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 115 KB

HMM speaker verification with sparse tra

HMM speaker verification with sparse training data on telephone quality speech

✍ M.E. Forsyth; A.M. Sutherland; J.A. Elliott; M.A. Jack 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 879 KB

Predicting with sparse data

✍ Shepperd, M.; Cartwright, M. 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 284 KB

Protein structure prediction: Combining

Protein structure prediction: Combining de novo modeling with sparse experimental data

✍ Dorota Latek; Dariusz Ekonomiuk; Andrzej Kolinski 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 357 KB

## Abstract Routine structure prediction of new folds is still a challenging task for computational biology. The challenge is not only in the proper determination of overall fold but also in building models of acceptable resolution, useful for modeling the drug interactions and protein–protein comp