Search results for "Speech-Language Pathology"

showing 10 items of 94 documents

Steered Response Power Localization of Acoustic Passband Signals

2017

The vast majority of localization approaches using phase transform (PHAT) consider that the sources of interest are wideband low-pass sources. While this may be the usual case for common audio signals such as speech, PHAT methods are affected negatively by modulation artifacts when the sources to be localized are passband signals. In these cases, steered response power PHAT localization becomes less robust. This letter analyzes the form of generalized cross-correlation functions with PHAT when passband acoustic signals are considered, proposing approaches for increasing the localization performance through the mitigation of these negative effects.

Audio signalComputer scienceApplied MathematicsSpeech recognitionAcousticsBandwidth (signal processing)020206 networking & telecommunications02 engineering and technology030507 speech-language pathology & audiology03 medical and health sciencesModulationSignal Processing0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringWideband0305 other medical sciencePassbandIEEE Signal Processing Letters
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Speech Intelligibility Analysis and Approximation to Room Parameters through the Internet of Things

2021

In recent years, Wireless Acoustic Sensor Networks (WASN) have been widely applied to different acoustic fields in outdoor and indoor environments. Most of these applications are oriented to locate or identify sources and measure specific features of the environment involved. In this paper, we study the application of a WASN for room acoustic measurements. To evaluate the acoustic characteristics, a set of Raspberry Pi 3 (RPi) has been used. One is used to play different acoustic signals and four are used to record at different points in the room simultaneously. The signals are sent wirelessly to a computer connected to a server, where using MATLAB we calculate both the impulse response (IR…

Computer scienceAcoustics01 natural scienceslcsh:TechnologySet (abstract data type)lcsh:Chemistry030507 speech-language pathology & audiology03 medical and health sciencesWASNroom acousticsWirelessGeneral Materials ScienceMATLABInstrumentationlcsh:QH301-705.5Impulse responsecomputer.programming_languageFluid Flow and Transfer ProcessesMeasure (data warehouse)room parameters estimationbusiness.industrylcsh:TProcess Chemistry and Technology010401 analytical chemistryGeneral Engineeringspeech intelligibility indexRoom acousticslcsh:QC1-9990104 chemical sciencesComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999Asynchronous communicationlcsh:TA1-2040impulse response0305 other medical scienceInternet of Thingsbusinesslcsh:Engineering (General). Civil engineering (General)computerlcsh:PhysicsApplied Sciences
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A Parallel Approach to HRTF Approximation and Interpolation Based on a Parametric Filter Model

2017

[EN] Spatial audio-rendering techniques using head-related transfer functions (HRTFs) are currently used in many different contexts such as immersive teleconferencing systems, gaming, or 3-D audio reproduction. Since all these applications usually involve real-time constraints, efficient processing structures for HRTF modeling and interpolation are necessary for providing real-time binaural audio solutions. This letter presents a parametric parallel model that allows us to perform HRTF filtering and interpolation efficiently from an input HRTF dataset. The resulting model, which is an adaptation from a recently proposed modeling technique, not only reduces the size of HRTF datasets signific…

Computer scienceparallel filters02 engineering and technologySolid modelingbinaural synthesisTransfer functionTECNOLOGIA ELECTRONICA030507 speech-language pathology & audiology03 medical and health sciencesgraphic processing unit (GPU)0202 electrical engineering electronic engineering information engineeringCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALhead-related transfer function (HRTF) modelingComputer visionElectrical and Electronic EngineeringAdaptation (computer science)Parametric statisticsbusiness.industryApplied MathematicsTeleconferenceBinaural synthesis020206 networking & telecommunicationsFilter (signal processing)interpolationInterpolationGraphic processing unit (GPU)Signal ProcessingHead-related transfer function (HRTF) modelingParallel filtersArtificial intelligence0305 other medical sciencebusinessAlgorithmInterpolation
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Colegialidad docente: validación lógica del instrumento para autoevaluación docente en España y México

2018

Se describe el proceso de diseño y validación del instrumento de evaluación de la colegialidad docente en su fase de validación lógica (validación de constructo) mediante el juicio de expertos a través de una metodología mixta (cuantitativa y cualitativa). El instrumento, que forma parte del modelo de evaluación para la cohesión social (Jornet, 2012), ha sido diseñado y validado en España, y posteriormente se llevó a cabo el proceso de adaptación en México. Los resultados muestran diferencias significativas entre las valoraciones de expertos de ambos contextos y ponen de manifiesto divergencias en cuanto a la organización de los sistemas educativos, lo que ayuda a definir el instrumento par…

Construct validityEducational and institutional evaluation05 social sciencesJudgement050301 educationConstruct validityInstrumentos de evaluaciónJudgmental reviewCollegialityEvaluación de sistemas e institucionesEducationEvaluation instrumentsCohesion (linguistics)030507 speech-language pathology & audiology03 medical and health sciencesRevisión por juecesPedagogy0305 other medical sciencePsychologyValidación de constructo0503 educationEducational systemsEnsenyament
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Evaluación Docente y Mejora Profesional. Descubrir el Encanto de su Complicidad

2021

Actualmente, nos encontramos en un momento óptimo y crucial, lleno de complejidad y con unas grandes necesidades de progresar y mejorar tras los meses de pandemia vividos tras el COVID-19. Aunque España, es uno de los países en los que apenas se ha abordado la evaluación docente, ésta debería de ir caminando hacia una corriente vinculada con el desarrollo docente, a través de procesos autoevaluativos. La razón de ser de este articulo radica, a través de los comentarios que vamos a presentar, en tratar de despertar la complicidad entre la evaluación docente y su incidencia en la mejora y desarrollo tanto profesional como personal. Si el profesorado descubriera el encanto que conlleva hacer u…

Coronavirus disease 2019 (COVID-19)business.industrymedia_common.quotation_subject05 social sciences050301 educationGeneral MedicinePersonal development030507 speech-language pathology & audiology03 medical and health sciencesPedagogyQuality (business)SociologyComplicity0305 other medical sciencebusiness0503 educationHumanitiesmedia_commonRevista Iberoamericana de Evaluación Educativa
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Unconditionally convergent multipliers and Bessel sequences

2016

Abstract We prove that every unconditionally summable sequence in a Hilbert space can be factorized as the product of a square summable scalar sequence and a Bessel sequence. Some consequences on the representation of unconditionally convergent multipliers are obtained, thus providing positive answers to a conjecture by Balazs and Stoeva in some particular cases.

Discrete mathematicsConjectureApplied Mathematics010102 general mathematicsScalar (mathematics)Mathematics::Classical Analysis and ODEsHilbert space01 natural sciencesFunctional Analysis (math.FA)Mathematics - Functional AnalysisMultiplier (Fourier analysis)030507 speech-language pathology & audiology03 medical and health sciencessymbols.namesakeBessel polynomialsFOS: MathematicssymbolsUnconditional convergence0101 mathematics0305 other medical scienceAnalysisBessel functionMathematicsJournal of Mathematical Analysis and Applications
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Bearing fault detection for drivetrains using adaptive filters based wavelet transform

2017

Predicting a localized defect on a rolling bearing during the degradation process before a complete failure is crucial to prevent system failures, unscheduled downtimes and substantial loss of productivity. During this process, impulses associated with the fault are weak, nonstationary or time-frequency varying, and contaminated by noises, which render the problem of extracting these impulses very difficult. This work investigates the effectiveness of common signal processing techniques on predicting incipient faults, e.g. Fast Fourier transform, Short-Time Fourier transform, Wavelet transform. It was found that an adaptive filter is required to enhance and reconstruct the signals during th…

Engineeringbusiness.industryStationary wavelet transformSecond-generation wavelet transformWavelet transform020206 networking & telecommunications02 engineering and technologyWavelet packet decompositionTime–frequency analysisAdaptive filter030507 speech-language pathology & audiology03 medical and health sciencessymbols.namesakeFourier transformMorlet waveletControl theory0202 electrical engineering electronic engineering information engineeringElectronic engineeringsymbols0305 other medical sciencebusiness2017 20th International Conference on Electrical Machines and Systems (ICEMS)
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Genre-adaptive Semantic Computing and Audio-based Modelling for Music Mood Annotation

2016

This study investigates whether taking genre into account is beneficial for automatic music mood annotation in terms of core affects valence, arousal, and tension, as well as several other mood scales. Novel techniques employing genre-adaptive semantic computing and audio-based modelling are proposed. A technique called the ACTwg employs genre-adaptive semantic computing of mood-related social tags, whereas ACTwg-SLPwg combines semantic computing and audio-based modelling, both in a genre-adaptive manner. The proposed techniques are experimentally evaluated at predicting listener ratings related to a set of 600 popular music tracks spanning multiple genres. The results show that ACTwg outpe…

ExploitMusic information retrievalmusic information retrievalcomputer.software_genre050105 experimental psychologyGenre-adaptive.030507 speech-language pathology & audiology03 medical and health sciencesAnnotationPopular musicSemantic computingMusic information retrieval0501 psychology and cognitive sciencesValence (psychology)genre-adaptivesocial tagsta113music genrebusiness.industry05 social sciencesComputingMilieux_PERSONALCOMPUTINGmood predictionMusic moodHuman-Computer InteractionMoodta6131semantic computingArtificial intelligence0305 other medical sciencebusinessPsychologycomputerSoftwareNatural language processing
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METALANG. Protocolo franco-español de exploración de habilidades metalingüísticas en niños de 6 a 9 años: un estudio preliminar

2012

International audience; In this work are described the principles of functional-pragmatic and the reasons for developing an exploration protocol for natural metalinguistic abilities. This study explains the base hypothesis and structure of METALANG protocol. This protocol consists in a Test and a Questionnaire for parents with two different scales: A = Ability, B = Frequency. Each element of the protocol has 6 sections and 40 items. It is performed a preliminary contrast with 12 subjects aged 6 to 9 years. Among the 12 subjects, 4 were diagnosed with dysphasia. METALANG shows high scores in reliability and internal consistency. This result confirms the hypothesis that it is possible a joint…

Exploration protocolParadigma pragmático-funcional4. Education030507 speech-language pathology & audiology03 medical and health sciencesSpeech and Hearing0302 clinical medicineMetalinguistic abilitiesDysphasia[SCCO.PSYC]Cognitive science/PsychologyHabilidades metalingüísticas0305 other medical scienceDisfasiaParadigm pragmatic-functional030217 neurology & neurosurgeryProtocolo exploración
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Acoustic Scene Classification with Squeeze-Excitation Residual Networks

2020

Acoustic scene classification (ASC) is a problem related to the field of machine listening whose objective is to classify/tag an audio clip in a predefined label describing a scene location (e. g. park, airport, etc.). Many state-of-the-art solutions to ASC incorporate data augmentation techniques and model ensembles. However, considerable improvements can also be achieved only by modifying the architecture of convolutional neural networks (CNNs). In this work we propose two novel squeeze-excitation blocks to improve the accuracy of a CNN-based ASC framework based on residual learning. The main idea of squeeze-excitation blocks is to learn spatial and channel-wise feature maps independently…

FOS: Computer and information sciencesSound (cs.SD)Computer Science - Machine LearningGeneral Computer ScienceCalibration (statistics)Computer scienceResidualConvolutional neural networkField (computer science)Computer Science - SoundMachine Learning (cs.LG)030507 speech-language pathology & audiology03 medical and health sciencesAudio and Speech Processing (eess.AS)Acoustic scene classificationFeature (machine learning)FOS: Electrical engineering electronic engineering information engineeringGeneral Materials ScienceBlock (data storage)Artificial neural networkbusiness.industrypattern recognitionGeneral Engineeringdeep learningPattern recognitionmachine listeningsqueeze-excitationArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineering0305 other medical sciencebusinesslcsh:TK1-9971Electrical Engineering and Systems Science - Audio and Speech Processing
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