Search results for "RECOGNITION"

Subjective Assessment of Concert Halls: a Common Vocabulary for Music Lovers and Acousticians

2012

In recent years we have interviewed members of the audience after musical performances and asked them to evaluate the acoustics of the concert halls. A group of music lovers (with a high level of musical training and experience) and acousticians (with a wide knowledge of the physical characteristics of sound transmission) also attended each performance and answered the same questions as the general public. This group thereby served as a control group when evaluating surveys of the general public. In this paper, the results obtained when analyzing these control group surveys are presented. This analysis shows that a common vocabulary exists between music lovers and acousticians when rating a…

Masked priming effects are modulated by expertise in the script.

2010

In a recent study using a masked priming same–different matching task, García-Orza, Perea, and Muñoz (2010) found a transposition priming effect for letter strings, digit strings, and symbol strings, but not for strings of pseudoletters (i.e., [Formula: see text] produced similar response times to the control pair [Formula: see text]). They argued that the mechanism responsible for position coding in masked priming is not operative with those “objects” whose identity cannot be attained rapidly. To assess this hypothesis, Experiment 1 examined masked priming effects in Arabic for native speakers of Arabic, whereas participants in Experiments 2 and 3 were lower intermediate learners of Arabi…

Are transposition effects specific to letters?

2010

Recent research has consistently shown that pseudowords created by transposing two letters are perceptually similar to their corresponding base words (e.g., jugde–judge). In the framework of the overlap model (Gomez, Ratcliff, & Perea, 2008), this effect is due to a noisy process in the localization of the “objects” (e.g., letters, kana syllables). In the present study, we examine whether this effect is specific to letter strings or whether it also occurs with other “objects” (namely, digits, symbols, and pseudoletters). To that end, we conducted a series of five masked priming experiments using the same–different task. Results showed robust effects of transposition for all objects, ex…

2014

Codebook is an effective image representation method. By clustering in local image descriptors, a codebook is shown to be a distinctive image feature and widely applied in object classification. In almost all existing works on codebooks, the building of the visual vocabulary follows a basic routine, that is, extracting local image descriptors and clustering with a user-designated number of clusters. The problem with this routine lies in that building a codebook for each single dataset is not efficient. In order to deal with this problem, we investigate the influence of vocabulary sizes on classification performance and vocabulary universality with the kNN classifier. Experimental results in…

A practical solution to the problem of automatic part-of-speech induction from text

2005

The problem of part-of-speech induction from text involves two aspects: Firstly, a set of word classes is to be derived automatically. Secondly, each word of a vocabulary is to be assigned to one or several of these word classes. In this paper we present a method that solves both problems with good accuracy. Our approach adopts a mixture of statistical methods that have been successfully applied in word sense induction. Its main advantage over previous attempts is that it reduces the syntactic space to only the most important dimensions, thereby almost eliminating the otherwise omnipresent problem of data sparseness.

The effect of harmonic context on phoneme monitoring in vocal music

2001

The processing of a target chord depends on the previous musical context in which it has appeared. This harmonic priming effect occurs for fine syntactic-like changes in context and is observed irrespective of the extent of participants' musical expertise (Bigand & Pineau, Perception and Psychophysics, 59 (1997) 1098). The present study investigates how the harmonic context influences the processing of phonemes in vocal music. Eight-chord sequences were presented to participants. The four notes of each chord were played with synthetic phonemes and participants were required to quickly decide whether the last chord (the target) was sung on a syllable containing the phoneme /i/ or /u/. The mu…

Cantus: Construction and evaluation of a software solution for real-time vocal music training and musical intonation assessment

2016

The development of the ability to sing or play in tune is one of the most critical tasks in music training. In music education, melodic patterns are usually learned by imitative processes (modelling). Once modelled, pitch sounds are then associ-ated to a representation according to a syllabic system such as the Guidonian system - or an arbitrary single syllable - or western graphic notation system symbols. From a didactic standpoint, few advances have been made in this area besides the use of audio-supported guides and existing software, which use a microphone to analyse the input and estimate the pitch or fundamental frequency of the given tone. However, these programmes lack the necessary…

A General Fuzzy-Parsing Scheme for Speech Recognition

1985

In this paper a Speech Recognition Methodology is proposed which is based on the general assumption of ‘fuzzyness’ of both speech-data and knowledge-sources. Besides this general principle, there are other fundamental assumptions which are also the bases of the proposed methodology: ‘Modularity’ in the knowledge organization, ‘Homogeneity’ in the representation of data and knowledge, ‘Passiveness’ of the ‘understanding flow’ (no backtraking or feedback), and ‘Parallelism’ in the recognition activity.

Practical Volcano-Independent Recognition of Seismic Events: VULCAN.ears Project

2021

Recognizing the mechanisms underlying seismic activity and tracking temporal and spatial patterns of earthquakes represent primary inputs to monitor active volcanoes and forecast eruptions. To quantify this seismicity, catalogs are established to summarize the history of the observed types and number of volcano-seismic events. In volcano observatories the detection and posterior classification or labeling of the events is manually performed by technicians, often suffering a lack of unified criteria and eventually resulting in poorly reliable labeled databases. State-of-the-art automatic Volcano-Seismic Recognition (VSR) systems allow real-time monitoring and consistent catalogs. VSR systems…

Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography

2019

Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance has steadily increased through the use of deep learning models that automatically learn relevant features for specific tasks, instead of designing visual features manually. Nevertheless, providing insights and interpretation of the predictions made by the model is still a challenge. This paper describes a deep learning model able to detect medically interpretable information in relevant images from a volume to classify diabetes-related retinal d…