This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
In this paper, we propose a new logic synthesis methodology to deal with the increasing importance of the interconnect delay in deepsubmicron technologies. We first show that conv...
Wilsin Gosti, Amit Narayan, Robert K. Brayton, Alb...
We developed a new modular synthesis approach for design of low-power core-based data-intensive application-specific systems on silicon. The power optimization is conducted in th...
Given a multi-modal dynamical system, optimal switching logic synthesis involves generating conditions for switching between the system modes such that the resulting hybrid system...
We propose an algorithm for efficient threshold network synthesis of arbitrary multi-output Boolean functions. The main purpose of this work is to bridge the wide gap that currentl...