This paper describes a source modeling method for hidden Markov model (HMM) based speech synthesis for improved naturalness. A speech corpus is rst decomposed into the glottal sou...
Tuomo Raitio, Antti Suni, Hannu Pulakka, Martti Va...
Recent and next-generation wireless broadcasting standards, such as DVB-T2 or DVB-NGH, are considering distributed multi-antenna transmission in order to increase bandwidth effic...
This paper presents a technique for the efficient compression of high dynamic range video (HDR) sequences. Such video sequences usually represent several orders of magnitude of r...
F0 is an acoustic feature that varies largely from one speaker to another. F0 is characterized by a discontinuity in the transition between voiced and unvoiced sounds that present...
Aki Kunikoshi, Yao Qian, Frank K. Soong, Nobuaki M...
The work presented in this paper is an extension of our two previous works [1, 2]. In the first paper [1], we proposed a low dimensional feature (i-vectors) extractor which is su...
Mohammed Senoussaoui, Patrick Kenny, Pierre Dumouc...
Image geo-registration is the process of relating a photograph and its pose to referenced world coordinates. The application is relevant, especially to the social networking, phot...
Training sequences for estimation of channel parameters have been well designed under the condition that the number of the unknown channel parameters is not greater than the numbe...
This paper studies a method for learning a discriminative visual codebook for various computer vision tasks such as image categorization and object recognition. The performance of...
This paper studies conditions under which a signal can be reconstructed from partial frequency content. We focus on signals in shiftinvariant spaces generated by multiple generato...