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— Nowadays, unit selection based text-to-speech technology is the mainstream approach for near natural speech synthesis systems. However, this is achieved at the expense of raised requirements in terms of computational resources. This work describes design and implementation approaches for the efficient integration of this technology in computational(More)
This letter introduces one-class classification as a framework for the spectral join cost calculation in unit selection speech synthesis. Instead of quantifying the spectral cost by a single distance measure, a data-driven approach is adopted which exploits the natural similarity of consecutive speech frames in the speech database. A pair of consecutive(More)
This paper presents some major results from the IMUTUS project 1. IMUTUS was an RTD project that aimed at the development of an open platform for training students on the recorder. The paper focuses on one of the most important and innovative parts of the IMUTUS system, the practicing environment. This environment integrates technological tools for the(More)
This paper presents a new method for the reduction of an existing speech database in order to be used for domain independent embedded unit selection text-to-speech synthesis. The method relies on statistical data produced by the unit selection process on a large text corpus. It utilizes the selection frequency, as well as the actual score of each unit. Both(More)
This paper presents research on " Greeklish, " that is, a transliteration of Greek using the Latin alphabet, which is used frequently in Greek e-mail communication. Greeklish is not standardized and there are a number of competing conventions co-existing in communication, based on personal preferences regarding similarities between Greek and Latin letters(More)
The success and the dominance of Hidden Markov Models (HMM) in the field of speech recognition, tends to extend also in the area of speech synthesis, since HMM provide a generalized statistical framework for efficient parametric speech modeling and generation. In this work, we describe the adaption, the implementation and the evaluation of the HMM speech(More)
— Currently, unit-selection text-to-speech technology is the common approach for near-natural speech synthesis systems. Such systems provide an important aid for blind or partially-sighted people, when combined with screen reading software. However, although the overall quality of the synthetic speech achieved by such systems can be quite high, this fact(More)
Fuzzy set theory and fuzzy logic has been initiated by Zadeh back in 1965 to permit the treatment of vague, imprecise, and ill-defined knowledge in an concise manner. One of the unique advantages of fuzzy logic is that it is capable of directly incorporating and utilizing qualitative and heuristic knowledge in the form of causal if-then production rules for(More)
We present the design, implementation and assessment of a high-quality unit-selection speech synthesis system for Bulgarian which, to the best of the authors' knowledge, is the first such synthesizer for the Bulgarian language. The paper presents implementation details for each component of the system, emphasizing on language-specific aspects and arguing(More)