Source separation aims to identify and separate the sources from a given mixture. In music source separation, the sources are typically musical instruments and the given mixture, a recorded track. When there is little or no prior information about the sources or recording conditions, a major goal becomes to target the inherent characteristics of the…
Circumstellars environments observation is a key for the comprehension of planet formation. If the very large telescopes allow the resolution of these environments, their observation is difficult due to the high contrast between the environment and their host stars. In fact the host stars are 1000 to 10 000 times brighter than the environment, even…
Speech communication devices such as hearing aids or mobile phones are often used in acoustically challenging situations, where the desired speech signal is affected by undesired background noise. Since in these situations speech quality and speech intelligibility may be degraded, speech enhancement algorithms are required to suppress the undesired background noise, while preserving the desired…
The rapid growth of wireless industry opens the door to several use cases such as internet of things and device to device communications which require boosting the reliability and the spectral efficiency (SE) of the wireless access network, while reducing the energy consumption at the terminals. The vast spectrum available in millimeter-wave (mmWave) frequency band…
This Ph.D. thesis focuses on developing a system for high-quality speech synthesis and voice conversion. Vocoder-based speech analysis, manipulation, and synthesis plays a crucial role in various kinds of statistical parametric speech research. Although there are vocoding methods which yield close to natural synthesized speech, they are typically computationally expensive, and are thus not suitable…
Human motion capture is important for a wide variety of applications, e.g., biomechanical analysis, virtual reality and character animation. Current human motion capture solutions require a large number of markers/sensors to be placed on the body. In this work, it is shown that this can be reduced by using data-driven approaches. First a comparison of…
In this doctoral thesis several scale-free texture segmentation procedures based on two fractal attributes, the H?lder exponent, measuring the local regularity of a texture, and local variance, are proposed.A piecewise homogeneous fractal texture model is built, along with a synthesis procedure, providing images composed of the aggregation of fractal texture patches with known attributes and…
Ill-posed inverse problems appear in many signal and image processing applications, such as deblurring, super-resolution and compressed sensing. The common approach to address them is to design a specific algorithm, or recently, a specific deep neural network, for each problem. Both signal processing and machine learning tactics have drawbacks: traditional reconstruction strategies exhibit limited performance…
High dimensional time series data are observed in many complex systems. In networked data, some of the time series are influenced by other time series. Identifying these relations encoded in a graph structure or topology among the time series is of paramount interest in certain applications since the identifi ed structure can provide insights about the…
Obstructive sleep apnea (OSA) is the most prevalent sleep related breathing disorder, nevertheless subjects suffering from it often remain undiagnosed due to the cumbersome diagnosis procedure. Moreover, the prevalence of OSA is increasing and a better phenotyping of patients is needed in order to prioritize treatment. The goal of this thesis was to tackle those…
