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This paper proposes an approach based on compressed sensing to reduce the footprint of speech corpus in unit selection based speech synthesis (USS) systems. It exploits the observation that speech signal can have a sparse representation (in suitable choice of basis functions) and can be estimated effectively using the sparse coding framework. Thus, only few significant coefficients of the sparse vector...
In this paper we will present an educational software designed for signal and speech processing applications. This interface which was developed under Matlab, can be used for signal denoising, speech coding and recognition. The implemented algorithms take into account the G723-G729 UIT specifications. The main menu was divided into six under-menus devoted for signal waveform representation, signal...
A joint spectro-temporal auditory model is utilized to assess speech quality objectively. The model mimics early and central auditory functions and serves as a spectro-temporal modulation filterbank. Three perceptual relevant parameters, intelligibility, clarity and naturalness, are addressed by the model and are combined to estimate the subjective mean opinion score (MOS) for speech quality measure...
The paper presents the first step of our attempt to enable speech driven information technologies in Romani. A short overview is given of Romani orthography, phonetic inventory, pronunciation rules, and prosody. Differences between Slovak and Romani language systems are pointed out and the resulting knowledge is used to design parts of the Romani diphone synthesizer derived from the corresponding...
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