✦ LIBER ✦

Transformation of formants for voice conversion using artificial neural networks

✍ Scribed by M. Narendranath; Hema A. Murthy; S. Rajendran; B. Yegnanarayana

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 795 KB
Volume: 16
Category: Article
ISSN: 0167-6393
DOI: 10.1016/0167-6393(94)00058-i

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An alternative approach using artificial

An alternative approach using artificial neural networks for power transformer protection

✍ D. V. Coury; E. C. Segatto 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 311 KB

ARTIFICIAL NEURAL NETWORK BASED FAULT DI

ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROTATING MACHINERY USING WAVELET TRANSFORMS AS A PREPROCESSOR

✍ B.A. Paya; I.I. Esat; M.N.M. Badi 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 236 KB

The purpose of condition monitoring and fault diagnostics are to detect and distinguish faults occurring in machinery, in order to provide a significant improvement in plant economy, reduce operational and maintenance costs and improve the level of safety. The condition of a model drive-line, consis

Prediction of thickening times of oil fi

Prediction of thickening times of oil field cements using artificial neural networks and fourier transform infrared spectroscopy

✍ Philip Fletcher; Peter Coveney 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 661 KB

Nonlinear statistical models based on artificial neural networks have been constructed to predict the thickening times of class G, class H, and class A oil well cement slurries from physicochemical data on cement powders. These data include chemical composition, particlesize distributions, and Fouri

Explicit Calculation of the Friction Fac

Explicit Calculation of the Friction Factor for Non-Newtonian Fluids Using Artificial Neural Networks

✍ Shayya, W. H. ;Sablani, S. S. ;Campo, A. 📂 Article 📅 2008 🏛 Curtin University of Technology 🌐 English ⚖ 827 KB

Beam landing adjustment for color purity

Beam landing adjustment for color purity of integrated tube component using artificial neural network

✍ Mauridhi Hery Purnomo; Akira Tada; Eiji Shimizu 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 249 KB

Evaluation of an in vitro in vivo correl

Evaluation of an in vitro in vivo correlation for nebulizer delivery using artificial neural networks

✍ Marcel de Matas; Qun Shao; Victoria Louise Silkstone; Henry Chrystyn 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 253 KB 👁 1 views

The ability to generate predictive models linking the in vitro assessment of pharmaceutical products with in vivo performance has the potential to enable greater control of clinical quality whilst minimizing the number of in vivo studies in drug development. Artificial neural networks (ANNs) provide