988 resultados para Human voice


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Mode of access: Internet.

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Mode of access: Internet.

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In the last few years the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how good is a voice when the application is a speech based interface. In this paper we present a new automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference. Our study is based on a multi-language database composed by female voices. In the objective performance evaluation the system achieved a 7.3% error rate.

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Adults diagnosed with autism spectrum disorder (ASD) show a reduced sensitivity (degree of selective response) to social stimuli such as human voices. In order to determine whether this reduced sensitivity is a consequence of years of poor social interaction and communication or is present prior to significant experience, we used functional MRI to examine cortical sensitivity to auditory stimuli in infants at high familial risk for later emerging ASD (HR group, N = 15), and compared this to infants with no family history of ASD (LR group, N = 18). The infants (aged between 4 and 7 months) were presented with voice and environmental sounds while asleep in the scanner and their behaviour was also examined in the context of observed parent-infant interaction. Whereas LR infants showed early specialisation for human voice processing in right temporal and medial frontal regions, the HR infants did not. Similarly, LR infants showed stronger sensitivity than HR infants to sad vocalisations in the right fusiform gyrus and left hippocampus. Also, in the HR group only, there was an association between each infant's degree of engagement during social interaction and the degree of voice sensitivity in key cortical regions. These results suggest that at least some infants at high-risk for ASD have atypical neural responses to human voice with and without emotional valence. Further exploration of the relationship between behaviour during social interaction and voice processing may help better understand the mechanisms that lead to different outcomes in at risk populations.

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Nowadays, noninvasive methods of diagnosis have increased due to demands of the population that requires fast, simple and painless exams. These methods have become possible because of the growth of technology that provides the necessary means of collecting and processing signals. New methods of analysis have been developed to understand the complexity of voice signals, such as nonlinear dynamics aiming at the exploration of voice signals dynamic nature. The purpose of this paper is to characterize healthy and pathological voice signals with the aid of relative entropy measures. Phase space reconstruction technique is also used as a way to select interesting regions of the signals. Three groups of samples were used, one from healthy individuals and the other two from people with nodule in the vocal fold and Reinke`s edema. All of them are recordings of sustained vowel /a/ from Brazilian Portuguese. The paper shows that nonlinear dynamical methods seem to be a suitable technique for voice signal analysis, due to the chaotic component of the human voice. Relative entropy is well suited due to its sensibility to uncertainties, since the pathologies are characterized by an increase in the signal complexity and unpredictability. The results showed that the pathological groups had higher entropy values in accordance with other vocal acoustic parameters presented. This suggests that these techniques may improve and complement the recent voice analysis methods available for clinicians. (C) 2008 Elsevier Inc. All rights reserved.

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Teaching the adequate use of the singing voice conveys a lot of knowledge in musical performance as well as in objective estimation techniques involving the use of air, muscles, room and body acoustics, and the tuning of a fine instrument as the human voice. Although subjective evaluation and training is a very delicate task to be carried out only by expert singers, biomedical engineering may help contributing with well-funded methodologies developed for the study of voice pathology. The present work is a preliminary study of exploratory character describing the performance of a student singer in a regular classroom under the point of view of vocal fold biomechanics. Estimates of biomechanical parameters obtained from singing voice are given and their potential use is discussed.

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Teaching the adequate use of the singing voice conveys a lot of knowledge in musical performance as well as in objective estimation techniques involving the use of air, muscles, room and body acoustics, and the tuning of a fine instrument as the human voice. Although subjective evaluation and training is a very delicate task to be carried out only by expert singers, biomedical engineering may help contributing with well - funded methodologies developed for the study of voice pathology. The present study is a preliminary study of exploratory character describing the performance of a student singer in a regular classroom under the point of view of vocal fold biomechanics. Estimate s of biomechanical parameters obtained from singing voice are given and their use i n the classroom is discussed.

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Acoustic parameters are frequently used to assess the presence of pathologies in human voice. Many of them have demonstrated to be useful but in some cases its results could be optimized by selecting appropriate working margins. In this study two indices, CIL and RALA, obtained from Modulation Spectra are described and tuned using different frame lengths and frequency ranges to maximize AUC in normal to pathological voice detection. After the tuning process, AUC reaches 0.96 and 0.95 values for CIL and RALA respectively representing an improvement of 16 % and 12 % at each case respect to the typical tuning based only on frame length selection.

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So, when it came to deciding upon an area of research, how I used my own voice became the main focus in a broader investigation of voice within sonic environments. I wanted to explore, for my own practice, what effect the inclusion of the human voice may have within a composition. For the purposes of my research, sonic environment does not refer to specific types of environment (i.e., rural, urban etc.); rather, it refers to the use of field recordings of sounds from my own everyday life, for example house keys, the rain, a squeaky door.

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This paper unpacks the relationships between the human voice and sound technologies by re-reading and re-evaluating Roland Barthes seminal essay, ‘The Grain of the Voice’ an oft cited but frequently misunderstood text, in the light of Robert Lepage’s Lipsynch (Canada, 2012). This production explicitly uses analogue and digital sound technologies to reveal the complexities and contradictions operating within the sonic economy of the performance with particular reference to the way it uses digital dubbing, miming, voice-overs and lip-reading to unsettle assumptions about the connections between the language, speech and the human voice. The paper will also unsettle any simple understanding of the voice as the locus of identity, and uncover the manner in which sonic digital technologies enable us to better apprehend ‘the body in the voice as it sings, the hand as it writes, the limb as it performs’ (Barthes, 185) while remaining sceptical about the existence of a primordial, unconstructed body.

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Public speaking has been with us since the great orators of the cultural heritage tradition and is by no means a dying art. There is no substitute for the human voice in real time, and technology-delivered speeches cannot really move an audience in precisely ways that effective, live speaking can. Many teachers go to history to access models such as the great Martin Luther King’s “I have a dream” speech, or Winston Churchill’s call to battle. Most of us can recall Kevin Rudd’s historical apology to Indigenous Australia’s stolen generation, and more recently Noel Pearson’s moving eulogy delivered to a mourners at Gough Whitlam’s funeral. We are fortunate now to be able to access speeches from more recent history, closer to home and in our own accents through online repositories. This paper is, in part, written as a guide for pre-service teachers who did not learn this at school, and experienced teachers may also find it useful.

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Human listeners seem to be remarkably able to recognise acoustic sound sources based on timbre cues. Here we describe a psychophysical paradigm to estimate the time it takes to recognise a set of complex sounds differing only in timbre cues: both in terms of the minimum duration of the sounds and the inferred neural processing time. Listeners had to respond to the human voice while ignoring a set of distractors. All sounds were recorded from natural sources over the same pitch range and equalised to the same duration and power. In a first experiment, stimuli were gated in time with a raised-cosine window of variable duration and random onset time. A voice/non-voice (yes/no) task was used. Performance, as measured by d', remained above chance for the shortest sounds tested (2 ms); d's above 1 were observed for durations longer than or equal to 8 ms. Then, we constructed sequences of short sounds presented in rapid succession. Listeners were asked to report the presence of a single voice token that could occur at a random position within the sequence. This method is analogous to the "rapid sequential visual presentation" paradigm (RSVP), which has been used to evaluate neural processing time for images. For 500-ms sequences made of 32-ms and 16-ms sounds, d' remained above chance for presentation rates of up to 30 sounds per second. There was no effect of the pitch relation between successive sounds: identical for all sounds in the sequence or random for each sound. This implies that the task was not determined by streaming or forward masking, as both phenomena would predict better performance for the random pitch condition. Overall, the recognition of familiar sound categories such as the voice seems to be surprisingly fast, both in terms of the acoustic duration required and of the underlying neural time constants.

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La voix humaine constitue la partie dominante de notre environnement auditif. Non seulement les humains utilisent-ils la voix pour la parole, mais ils sont tout aussi habiles pour en extraire une multitude d’informations pertinentes sur le locuteur. Cette expertise universelle pour la voix humaine se reflète dans la présence d’aires préférentielles à celle-ci le long des sillons temporaux supérieurs. À ce jour, peu de données nous informent sur la nature et le développement de cette réponse sélective à la voix. Dans le domaine visuel, une vaste littérature aborde une problématique semblable en ce qui a trait à la perception des visages. L’étude d’experts visuels a permis de dégager les processus et régions impliqués dans leur expertise et a démontré une forte ressemblance avec ceux utilisés pour les visages. Dans le domaine auditif, très peu d’études se sont penchées sur la comparaison entre l’expertise pour la voix et d’autres catégories auditives, alors que ces comparaisons pourraient contribuer à une meilleure compréhension de la perception vocale et auditive. La présente thèse a pour dessein de préciser la spécificité des processus et régions impliqués dans le traitement de la voix. Pour ce faire, le recrutement de différents types d’experts ainsi que l’utilisation de différentes méthodes expérimentales ont été préconisés. La première étude a évalué l’influence d’une expertise musicale sur le traitement de la voix humaine, à l’aide de tâches comportementales de discrimination de voix et d’instruments de musique. Les résultats ont démontré que les musiciens amateurs étaient meilleurs que les non-musiciens pour discriminer des timbres d’instruments de musique mais aussi les voix humaines, suggérant une généralisation des apprentissages perceptifs causés par la pratique musicale. La seconde étude avait pour but de comparer les potentiels évoqués auditifs liés aux chants d’oiseaux entre des ornithologues amateurs et des participants novices. L’observation d’une distribution topographique différente chez les ornithologues à la présentation des trois catégories sonores (voix, chants d’oiseaux, sons de l’environnement) a rendu les résultats difficiles à interpréter. Dans la troisième étude, il était question de préciser le rôle des aires temporales de la voix dans le traitement de catégories d’expertise chez deux groupes d’experts auditifs, soit des ornithologues amateurs et des luthiers. Les données comportementales ont démontré une interaction entre les deux groupes d’experts et leur catégorie d’expertise respective pour des tâches de discrimination et de mémorisation. Les résultats obtenus en imagerie par résonance magnétique fonctionnelle ont démontré une interaction du même type dans le sillon temporal supérieur gauche et le gyrus cingulaire postérieur gauche. Ainsi, les aires de la voix sont impliquées dans le traitement de stimuli d’expertise dans deux groupes d’experts auditifs différents. Ce résultat suggère que la sélectivité à la voix humaine, telle que retrouvée dans les sillons temporaux supérieurs, pourrait être expliquée par une exposition prolongée à ces stimuli. Les données présentées démontrent plusieurs similitudes comportementales et anatomo-fonctionnelles entre le traitement de la voix et d’autres catégories d’expertise. Ces aspects communs sont explicables par une organisation à la fois fonctionnelle et économique du cerveau. Par conséquent, le traitement de la voix et d’autres catégories sonores se baserait sur les mêmes réseaux neuronaux, sauf en cas de traitement plus poussé. Cette interprétation s’avère particulièrement importante pour proposer une approche intégrative quant à la spécificité du traitement de la voix.