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Rosa Ma Alsina-Pagès      
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Rosa Ma Alsina-Pagès published an article in December 2018.
Top co-authors
Marc Arnela

10 shared publications

GTM - Grup de recerca en Tecnologies Mèdia, La Salle, Universitat Ramon Llull, C/ Quatre Camins 30, Barcelona, Catalonia 08022, Spain

Oriol Guasch

4 shared publications

GTM-Grup de recerca en Tecnologies Mèdia; La Salle-Universitat Ramon Llull; Barcelona Spain

Joan Camps

1 shared publications

Publication Record
Distribution of Articles published per year 
(2005 - 2018)
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Publications See all
Article 0 Reads 0 Citations Construction of an Omnidirectional Parametric Loudspeaker Consisting in a Spherical Distribution of Ultrasound Transduce... Marc Arnela, Oriol Guasch, Patricia Sánchez-Martín, Joan Cam... Published: 07 December 2018
Sensors, doi: 10.3390/s18124317
DOI See at publisher website ABS Show/hide abstract
Omnidirectional sound sources are needed to perform a large variety of tests in acoustics. Typically, they consist of conventional speaker drivers arranged in a dodecahedron. However, the directivity of the speaker drivers sharpens with frequency, which induces an intense decrease of the sound pressure levels at the edges of the dodechaedron. In this work, the problem is mitigated by building an Omnidirectional Parametric Loudspeaker (OPL), which contains hundreds of small ultrasound transducers set on a sphere. Each transducer emits an ultrasonic carrier wave modulated by an audible signal. Thanks to nonlinear propagation, the air itself demodulates the signal bringing it back to the audible range. The construction of an OPL prototype is challenging. The structure has been built by 3D-printing a set of pieces that conform to the sphere. Each piece contains the exact location of the transducers, which are aligned in parallels to facilitate the structural assembly and the wiring. The performance of the OPL has been tested in an anechoic chamber. Measurements show that the OPL has a good omnidirectional behavior for most frequencies. It clearly improves the directivity of dodechaedral sources in the high frequency range, but performs worse at low frequencies.
Article 0 Reads 3 Citations An Anomalous Noise Events Detector for Dynamic Road Traffic Noise Mapping in Real-Life Urban and Suburban Environments Joan Claudi Socoró, Francesc Alías, Rosa Ma Alsina-Pagès Published: 12 October 2017
Sensors, doi: 10.3390/s17102323
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
One of the main aspects affecting the quality of life of people living in urban and suburban areas is their continued exposure to high Road Traffic Noise (RTN) levels. Until now, noise measurements in cities have been performed by professionals, recording data in certain locations to build a noise map afterwards. However, the deployment of Wireless Acoustic Sensor Networks (WASN) has enabled automatic noise mapping in smart cities. In order to obtain a reliable picture of the RTN levels affecting citizens, Anomalous Noise Events (ANE) unrelated to road traffic should be removed from the noise map computation. To this aim, this paper introduces an Anomalous Noise Event Detector (ANED) designed to differentiate between RTN and ANE in real time within a predefined interval running on the distributed low-cost acoustic sensors of a WASN. The proposed ANED follows a two-class audio event detection and classification approach, instead of multi-class or one-class classification schemes, taking advantage of the collection of representative acoustic data in real-life environments. The experiments conducted within the DYNAMAP project, implemented on ARM-based acoustic sensors, show the feasibility of the proposal both in terms of computational cost and classification performance using standard Mel cepstral coefficients and Gaussian Mixture Models (GMM). The two-class GMM core classifier relatively improves the baseline universal GMM one-class classifier F1 measure by 18.7% and 31.8% for suburban and urban environments, respectively, within the 1-s integration interval. Nevertheless, according to the results, the classification performance of the current ANED implementation still has room for improvement.
Article 5 Reads 1 Citation An FPGA-Based WASN for Remote Real-Time Monitoring of Endangered Species: A Case Study on the Birdsong Recognition of Bo... Marcos Hervás, Rosa Ma Alsina-Pagès, Francesc Alías, Martí S... Published: 08 June 2017
Sensors, doi: 10.3390/s17061331
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Fast environmental variations due to climate change can cause mass decline or even extinctions of species, having a dramatic impact on the future of biodiversity. During the last decade, different approaches have been proposed to track and monitor endangered species, generally based on costly semi-automatic systems that require human supervision adding limitations in coverage and time. However, the recent emergence of Wireless Acoustic Sensor Networks (WASN) has allowed non-intrusive remote monitoring of endangered species in real time through the automatic identification of the sound they emit. In this work, an FPGA-based WASN centralized architecture is proposed and validated on a simulated operation environment. The feasibility of the architecture is evaluated in a case study designed to detect the threatened Botaurus stellaris among other 19 cohabiting birds species in The Parc Natural dels Aiguamolls de l’Empord
Article 0 Reads 2 Citations Towards Automatic Bird Detection: An Annotated and Segmented Acoustic Dataset of Seven Picidae Species Ester Vidaña-Vila, Joan Navarro, Rosa Ma Alsina-Pagès Published: 16 May 2017
Data, doi: 10.3390/data2020018
DOI See at publisher website ABS Show/hide abstract
Analysing behavioural patterns of bird species in a certain region enables researchers to recognize forthcoming changes in environment, ecology, and population. Ornithologists spend many hours observing and recording birds in their natural habitat to compare different audio samples and extract valuable insights. This manual process is typically undertaken by highly-experienced birders that identify every species and its associated type of sound. In recent years, some public repositories hosting labelled acoustic samples from different bird species have emerged, which has resulted in appealing datasets that computer scientists can use to test the accuracy of their machine learning algorithms and assist ornithologists in the time-consuming process of analyzing audio data. Current limitations in the performance of these algorithms come from the fact that the acoustic samples of these datasets combine fragments with only environmental noise and fragments with the bird sound (i.e., the computer confuses environmental sound with the bird sound). Therefore, the purpose of this paper is to release a dataset lasting more than 4984 s that contains differentiated samples of (1) bird sounds and (2) environmental sounds. This data descriptor releases the processed audio samples—originally obtained from the Xeno-Canto repository—from the known seven families of the Picidae species inhabiting the Iberian Peninsula that are good indicators of the habitat quality and have significant value from the environment conservation point of view.
Article 2 Reads 0 Citations Multiresolution acquisition scheme for the physical layer design of a direct sequence spread spectrum transequatorial HF... Rosa Ma Alsina-Pagès, Joan Claudi Socoró, Martí Salvador, Ma... Published: 11 May 2017
IET Communications, doi: 10.1049/iet-com.2016.1221
DOI See at publisher website
Article 1 Read 0 Citations Vertical and oblique ionospheric soundings performance comparison over the 12,760 km transequatorial HF link between Ant... Rosa Ma Alsina-Pagès, Marcos Hervás, David Altadill, J. Cald... Published: 29 April 2017
Radio Science, doi: 10.1002/2016rs006232
DOI See at publisher website
Conference papers See all
CONFERENCE-ARTICLE 38 Reads 0 Citations <strong>The citizen as a key point of the policies: a first approach to auralization for the acoustic perception of nois... Rosa Ma Alsina-Pages, Pau Bergadà Published: 14 November 2018
doi: 10.3390/ecsa-5-05720
DOI See at publisher website ABS Show/hide abstract

The improvement of the quality of life in the framework of the smartcity paradigm cannot be limited to a set of objective measures carried out over several critical parameters (e.g. noise, air pollution). The citizen's perception of the problem to be solved, as well as the perception of the improvement achieved with the policies defined for this purpose, is more important than the objectivity and the measurement of the change achieved. A first auralization approach for the evaluation of the acoustic perception of street noise is presented in this work. The wireless acoustic sensor network can pick up street noise, and can even record specific sounds that reach a higher equivalent level for study, but the most important thing for administration is whether the neighbour has noticed an improvement in the quality of life. This work is a first approximation to an estimation of the real perception of citizens of the street urban noises collected by a low-cost wireless acoustic sensor network.

CONFERENCE-ARTICLE 57 Reads 0 Citations <strong>Noise Annoyance in Urban Life: the Citizen as a Key Point of the Directives</strong> Alexandra Labairu, Rosa Ma Alsina-Pages, Ferran Orga, Maria ... Published: 14 November 2018
doi: 10.3390/IECEHS-1-05648
DOI See at publisher website ABS Show/hide abstract

The improvement of the quality of life in the framework of the smart-city paradigm cannot be limited to measuring objective environmental factors but should also consider the assessment of the citizens’ health. Road traffic noise has been widely studied in terms of citizens’ annoyance and its impact on health, but other types of urban noise are usually out of those analysis. Each node of a wireless acoustic sensor network can pick up street noise, and can even record specific sounds that reach a higher equivalent level for study, but the most important thing for administration is whether certain types of noise annoy the citizen. In this work, we present the analysis and the selection of several audio samples collected by a wireless acoustic sensor network in an urban environment in order to conduct perceptive tests by several users. This a first approximation to the evaluation of the real perception of citizens’ annoyance of the urban noise collected by a low-cost wireless acoustic sensor network.

CONFERENCE-ARTICLE 9 Reads 0 Citations <strong>Analysis of the Acoustic Characteristics of a suburban Multi-Sensor Network for Road Traffic Noise Mapping</stro... Joan Claudi Socoró, Rosa Ma Alsina-Pagès, Francesc Alías, Fe... Published: 14 November 2018
doi: 10.3390/ecsa-5-05738
DOI See at publisher website ABS Show/hide abstract

The DYNAMAP project is aimed at implementing a dynamic noise mapping system able to determine the acoustic impact of road infrastructures in real-time, due to the basis settled by the European Noise Directive 2002/49/EC. A Wireless Acoustic Sensor Network is used to collect the measurements in two pilot areas: in the city of Milan (urban) and in the A90 motorway around Rome (suburban). For a proper evaluation of the road infrastructure noise level, the anomalous noise events (ANE) unrelated to traffic noise (e.g. sirens, horns, speech, doors…) should be removed before updating the noise maps. For this purpose, an anomalous noise events detector (ANED) has been designed using Mel Frequency Cepstral Coefficients (MFCC) and Gaussian Mixture Models (GMM), and trained using data from a real-life recording campaign in the A90. In this work, the preliminary version of the ANED algorithm is adjusted to conform to the requirements of the final 19-node WASN deployed in the suburban environment. The study pays special attention to analyze the characteristics of the acoustic data in real-life conditions and their differences between the 19-nodes in the Rome pilot, in order to adapt the ANED to the entire WASN.