David Kryze

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This paper addresses the problem of speaker-based seg-mentation. The aim is to segment the audio data with respect to the speakers. In our study, we assume that no prior information on speakers is available and that people do not speak simultaneously. Our segmenta-tion technique is operated in two passes: first, the most likely speaker changes are detected(More)
In this paper we address the problem of speaker adaptation in noisy environments. We estimate speaker adapted models from noisy data by combining unsuper-vised speaker adaptation with noise compensation. We aim at using the resulting speaker adapted models in environments that differ from the adaptation environment, without a significant loss in(More)
We demonstrate a new platform for holographic interactive 3D experience. New user experience includes holographic 3D visual and audio experience, natural free-space 3D interaction, and augmenting the interface of smaller devices (e.g. smartphones). The head tracking component is compact and non-intrusive to 3D glasses' appearance. Depth sensor based 3D hand(More)
This paper presents a generalized feature projection scheme which allows each feature dimension to be classified in a set of 1 to M classes, where M is the total number of classes. Our method is an extension of the classical full-space null-space approach where each dimension can only be classified in either M classes or 1 class. We believe that this more(More)
This paper presents experiments of noise robust ASR on the Au-rora4 database. The database is designed to test large vocabulary systems in presence of noise and channel distortions. A number of different model-based and signal-based noise robustness techniques have been tested. Results show that it is difficult to design a technique that is superior in(More)
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