Cosme Llerena

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The Spanish Ministry of Defense, through its Future Combatant program, has sought to develop technology aids with the aim of extending combatants' operational capabilities. Within this framework the ATREC project funded by the "Coincidente" program aims at analyzing diverse biometrics to assess by real time monitoring the stress levels of combatants. This(More)
Advances in textile materials, technology and miniaturization of electronics for measurement instrumentation has boosted the development of wearable measurement systems. In several projects sensorized garments and non-invasive instrumentation have been integrated to assess on emotional, cognitive responses as well as physical arousal and status of mental(More)
Desynchronization degrades the performance of many signal processing algorithms in Wireless Acoustic Sensor Networks. It is mainly caused by the different distances between the source and each node and by the clock phase offset and frequency skew. Classical solutions use clock synchronization protocols and algorithms in the communication layer, but these(More)
Blind Source Separation (BSS) of speech sources has been subject of study during many years, and it still remains largely open and unsolved. Traditional BSS methods based on statistical properties of the signals, as well as recent methods such as time-frequency masking, normally need to know in advance the number of sources in the mixture to perform the(More)
A computationally efficient system for sound environment classification in digital hearing aids is presented in this paper. The goal is to automatically classify three different listening environments: "speech," "music," and "noise." The system is designed considering the computational limitations found in such devices. The proposed algorithm is based on a(More)
The use of wireless acoustic sensor networks is becoming very popular since they entail many advantages. However, this type of distributed sensor networks has an important drawback for many signal processing algorithms, the synchronization problem. Broadly speaking, in those networks, signals received at the different nodes are not synchronized due to two(More)
Pitch detection is one of the most difficult problems encountered when analyzing speech signals. This paper focuses on detecting the pitch in pathological voices, what is of key importance, for voice pathology diagnosis. In particular, we put special emphasis on diagnosing three common pathologies: roughness, hoarseness and breathiness. The intelligibility(More)