In this paper we describe how prosody prediction can be efficiently integrated with the unit selection process in a concatenative speech synthesizer under a weighted finite-state transducer (WFST) architecture. WFSTs representing prosody prediction and unit selection can be composed during synthesis, thus effectively expanding the space of possible prosodic targets. We implemented a symbolic pr...

despite the extensive deployment of multi-core architectures in the past few years, the design and optimization of each single processing core is still a fresh field in computing .on the other hand, having a design procedure (used to solve the problems related to the design of a single processing core )makes it possible to apply the proposed solutions to specific-purpose processing cores .the i...

Recently, Diebold and Kilian [Unit root tests are useful for selecting forecasting models, Journal of Business and Economic Statistics 18, 265-273, 2007] and Niwitpong [Effect of Preliminary unit roots on predictors for an unknown mean AR(1) process, Thailand Statistician 7, 71-79, 2009] indicated that the preciseness of a predictor for an AR(1) process can be increased by using the preliminary...

The branch predictor plays a crucial role in the achievement of effective performance in microprocessors with pipelined architectures. This paper analyzes performance of branch prediction unit for pipelined processors. A memory of 512 bytes is designed for storing instructions. A 32 byte memory is designed for branch target buffer (BTB). This memory is utilized for storing history of the branch...

Inductors, transmission lines, and Tesla transformers have been modeled with lumped-element equivalent circuits for over a century. In a well-known paper from 1904, Paul Drude predicts that the mutual inductance for an unloaded Tesla transformer should be nonreciprocal. This historical curiosity is mostly forgotten today, perhaps because it appears incorrect. However, Drude's prediction is show...

Abstract To address the problem that it is difficult to accurately predict health status of hydropower units using real-time monitoring data, this paper proposes a method for predicting trend based on variational modal decomposition (VMD) and time convolution network (TCN); considering nonlinear factors series unit vibration index, prediction model VMD-TCN established achieve accurate status. A...