Project Oracle: Software for training in speech science.

An automated framework for software test oracle

Context: One of the important issues of software testing is to provide an automated test oracle. Test oracles are reliable sources of how the software under test must operate. In particular, they are used to evaluate the actual results that produced by the software. However, in order to generate an automated test oracle, oracle challenges need to be addressed. These challenges are output-domain...

Oracle VM, Performance Evaluation of Oracle VM Server Virtualization Software

Premise: Server resources often are underutilized. It often is easy to accommodate the need for additional server resources by adding more hardware. But in today’s costconscious landscape, with an emphasis on energy efficiency and managing power consumption, server virtualization emerges as a viable solution to maximize server utilization, achieve efficiency, provide scalability, while also bei...

Smile Analyzer: A Software Package for Analyzing the Characteristics of the Speech and Smile

Taking into account the factors related to lip-tooth relationships in orthodontic diagnosis and treatment planning is of prime importance. Manual quantitative analysis of facial parameters on photographs during smile and speech is a difficult and time-consuming job. Since there is no comprehensive and user-friendly software package, we developed a software program called "Smile Analyzer" in the...

Software Engineering for Science

Improved Bayesian Training for Context-Dependent Modeling in Continuous Persian Speech Recognition

Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of context-dependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven clust...