Z.-I. Skordilis

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Automatically evaluating pronunciation quality of non-native speech has seen tremendous success in both research and commercial settings, with applications in L2 learning. In this paper, submitted for the INTERSPEECH 2015 Degree of Nativeness Sub-Challenge, this problem is posed under a challenging crosscorpora setting using speech data drawn from multiple(More)
The need for reliable, scalable and efficient diagnosis of Parkinson’s Disease (PD) is a major clinical need. Automating the diagnosis can lead to more accurate and objective predictions as well as provide insights regarding the nature of Parkinson’s condition. This paper proposes a fully automated system to rate the severity (UPDRS-III scale) of PD from(More)
In this paper, we examine three problems that rise in the modern, challenging area of far-field speech processing. The developed methods for each problem, namely (a) multi-channel speech enhancement, (b) voice activity detection, and (c) speech recognition, are potentially applicable to a distant speech recognition system for voice-enabled smart home(More)
In this work, we investigate the efficacy of Micro Electro-Mechanical System (MEMS) microphones, a newly developed technology of very compact sensors, for multichannel speech enhancement. Experiments are conducted on real speech data collected using a MEMS microphone array. First, the effectiveness of the array geometry for noise suppression is explored,(More)
The human tongue is an important organ for speech production. Its deformation and motion control the shape of the vocal tract significantly and thereby the acoustic properties of the speech signal produced. Thus, much effort in the speech research community has been directed towards its biomechanical modeling. A common assumption incorporated into many(More)
The acoustic properties of speech signals are largely determined by the shaping of the vocal tract. Thus, measurements of vocal-tract area functions and their relationship to various properties of the speech signal have been of interest to the speech research community. Recent advances in Magnetic Resonance Imaging (MRI) allow direct 3D volumetric imaging(More)
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