Search results for "speech"
showing 10 items of 1281 documents
L’écriture et le graphisme à l’ère de la linguistique psychologique
2016
This study deals with the conception of “writing” within the German humanities during the « psychological turn » of the last half of the XIXth - the beginning of the XXth centuries. The focal point is “graphism” and “writing” understood as “expressive movements” (Ausdrucksbewegungen), this notion being bound to the concept of “verbal gesture” within the trend of “psychological linguistics” (1850-1930). Inspired initially by the morphological and physiognomonic tradition (J. Lavater, J. W. Goethe, J. Engel, C. Carus, Th. Piderit), this conception considers language as a particular kind of “expressive movements”. This vision comes back to the German psychology of consciousness elaborated by J…
Plataformas digitales y concepto de trabajador: una propuesta de interpretación finalista
2019
There is consensus in the labor law doctrine that the concept of worker must be interpreted according to the social reality of the moment in which it should be applied. The present work analyzes what this affirmation means in the current moment of expansion of digital platforms and autonomous work in general. For that, i) the existing proposals in the comparative doctrine of extension of the subjective scope of Labor Law are analyzed; ii) the aims of labor law; iii) the latest interpretations of the Supreme Court of the concept of worker. Based on this analysis, a purposive interpretation proposal is made of the concept of worker that allows to include all those who provide services without…
Hearing-impaired pupils in mainstream education in Finland: teachers’ experiences of inclusion and support
2017
Today, in Finland, the majority of hearing-impaired pupils attend regular schools. This is in line with inclusive policy. This study aims to investigate do these pupils receive support from teacher ...
Timbre Similarity: Convergence of Neural, Behavioral, and Computational Approaches
1998
The present study compared the degree of similarity of timbre representations as observed with brain recordings, behavioral studies, and computer simulations. To this end, the electrical brain activity of subjects was recorded while they were repetitively presented with five sounds differing in timbre. Subjects read simultaneously so that their attention was not focused on the sounds. The brain activity was quantified in terms of a change-specific mismatch negativity component. Thereafter, the subjects were asked to judge the similarity of all pairs along a five-step scale. A computer simulation was made by first training a Kohonen self-organizing map with a large set of instrumental sounds…
RECURRENT SELF-ORGANIZATION OF SENSORY SIGNALS IN THE AUDITORY DOMAIN
2008
In this study, a psychoacoustical and connectionist modeling framework is proposed for the investigation of musical cognition. It is suggested that music perception involves the manipulation of 1) sensory representations that have correlations with psychoacoustical features of the stimulus, and 2) abstract representations of the statistical regularities underlying a particular musical syntax. In the implicit learning domain, sensory features have been shown to interact with the processes involved in the extraction of the regularities governing musical events combinations in a stream [e.g., 1]. Furthermore, in a more ecological context, it is well known that traditional Western tonal system …
Visualization of tonal content with self-organizing maps and self-similarity matrices
2005
This article presents a dynamic model of tonality perception based on a short-term memory model and a self-organizing map (SOM). The model can be used for dynamic visualization of perceived tonal content, making it possible to examine the clarity and locus of tonality at any given point of time. This article also presents a method for the visualization of tonal structure using self-similarity matrices. The methods are applied to compositions of J. S. Bach, S. Barber, and J. Pachelbel. Finally, a real-time application embracing the tonality perception model is presented.
Prior precision modulates the minimisation of prediction error in human auditory cortex
2018
AbstractThe predictive coding model of perception proposes that successful representation of the perceptual world depends upon cancelling out the discrepancy between prediction and sensory input (i.e., prediction error). Recent studies further suggest a distinction between prediction error associated with non-predicted stimuli of different prior precision (i.e., inverse variance). However, it is not fully understood how prediction error from different precision levels is minimised in the predictive process. The current research used magnetoencephalography (MEG) to examine whether prior precision modulates the cortical dynamics of the making of perceptual inferences. We presented participant…
Extraction of ERP from EEG data
2007
In this article, a simple but novel technique for extracting a linear subspace related to event related potentials (ERPs) from ElectroEncephaloGraphy (EEG) data is introduced. The technique consists of a sequence of basic linear operations applied to multidimensional EEG data in a problem-specific manner. The derivation of the proposed technique is given and results with real data are described together with overall conclusions.
Information dynamics in cardiorespiratory time series during mental stress testing
2014
In this study, we assessed the information dynamics of respiration and heart rate variability during mental stress testing by means of the cross-entropy, a measure of cardiorespiratory coupling, and the self-entropy of the tachogram conditioned to the knowledge of respiration. Although stress is related to a reduction in vagal activity, no difference in cardiorespiratory coupling was found when 5 minutes of rest and stress were compared. The conditional self-entropy, on the other hand, showed significantly higher values during stress, indicating a higher predictability of the tachogram. These results show that entropy analyses of cardiorespiratory data reveal new information that could not …
A speech recognition approach for an industrial training station
2021
This paper presents a speech recognition service used in the context of commanding and guiding the activities around an industrial training station. The entire concept is built on a decentralized microservice architecture and one of the many hardware and software components is the speech recognition engine. This engine grants users the possibility to interact seamlessly with other components in order to ensure a gradual and productive learning process. By working with different API’s for both English and Romanian languages, the presented approach manages to obtain good speech recognition for defining task phrases aiding the training procedure and to reduce the recognition required time by a…