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Libros sobre el tema "Perceptual features for speech recognition"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 1 de febrero de 2022

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1

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Emotion Recognition using Speech Features. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5143-3.

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2

Rao, K. Sreenivasa, and Manjunath K E. Speech Recognition Using Articulatory and Excitation Source Features. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49220-9.

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3

Gabsdil, Malte. Automatic classification of speech recognition hypotheses using acoustic and pragmatic features. Saarbrücken: DFKI & Universität des Saarlandes, 2005.

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4

Rao, K. Sreenivasa. Robust Emotion Recognition using Spectral and Prosodic Features. New York, NY: Springer New York, 2013.

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5

Kulshreshtha, Manisha. Dialect Accent Features for Establishing Speaker Identity: A Case Study. Boston, MA: Springer US, 2012.

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6

Rao, K. Sreenivasa Sreenivasa, and Manjunath K. E. Speech Recognition Using Articulatory and Excitation Source Features. Springer, 2017.

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7

Leibo, Joel Z., and Tomaso Poggio. Perception. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0025.

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This chapter provides an overview of biological perceptual systems and their underlying computational principles focusing on the sensory sheets of the retina and cochlea and exploring how complex feature detection emerges by combining simple feature detectors in a hierarchical fashion. We also explore how the microcircuits of the neocortex implement such schemes pointing out similarities to progress in the field of machine vision driven deep learning algorithms. We see signs that engineered systems are catching up with the brain. For example, vision-based pedestrian detection systems are now accurate enough to be installed as safety devices in (for now) human-driven vehicles and the speech recognition systems embedded in smartphones have become increasingly impressive. While not being entirely biologically based, we note that computational neuroscience, as described in this chapter, makes up a considerable portion of such systems’ intellectual pedigree.
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8

Lee, Lisa. The role of the structure of the lexicon in perceptual word learning. 1993.

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9

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Robust Emotion Recognition using Spectral and Prosodic Features. Springer, 2013.

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10

Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. Robust Emotion Recognition using Spectral and Prosodic Features. Springer, 2013.

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11

Dialect Accent Features For Establishing Speaker Identity A Case Study. Springer, 2012.

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12

Connolly, Kevin. Perceptual Learning. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190662899.001.0001.

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Experts from wine tasters to radiologists to bird watchers have all undergone perceptual learning—that is, long-term changes in perception that result from practice or experience. Philosophers have been discussing such cases for centuries, from the fourteenth-century Indian philosopher Vedānta Deśika to the eighteenth-century Scottish philosopher Thomas Reid to a great many contemporary philosophers. This book uses recent evidence from psychology and neuroscience to show that perceptual learning is genuinely perceptual, rather than post-perceptual. It also offers a way for philosophers to distinguish between various different types of it, from changes in how one attends to the learned ability to differentiate two properties or to perceive two properties as unified. The book illustrates how this taxonomy can classify cases in the philosophical literature, and then it rethinks several domains in the philosophy of perception in terms of perceptual learning, including multisensory perception, color perception, and speech perception. As a whole, it offers a new philosophical theory of the function of perceptual learning. Perceptual learning embeds into our quick perceptual systems what would be a slower task were it to be done in a controlled, cognitive manner. A novice wine taster drinking a Cabernet Sauvignon may have to think about its features first and then infer the type of wine it is, while an expert identifies it immediately. Perceptual learning frees up cognitive resources for other tasks, such as thinking about the vineyard or the vintage of the wine. All in all, this book explores the nature, scope, and theoretical implications of perceptual learning.
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13

and, Bruno. Object Perception and Recognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198725022.003.0004.

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Perceived objects are unitary entities that enter our consciousness as organized wholes distinct from other entities and from empty parts of the environment, that are amenable to bodily interactions, and that possess several features such as a three-dimensional structure, a location in space, a colour, a texture, a weight, a degree of rigidity, an odour, and so on. In this chapter, we will discuss perceptual processes responsible for forming such units within and between sensory channels, typically for the purpose of recognition. Our discussion of multisensory interactions in object perception will provide a useful domain for illustrating the key notion of optimal multisensory integration and for introducing Bayesian models of perception. These models provide important novel ways of addressing classical problems in the philosophy of perception, in influential historical approaches such as the Gestalt theory of perception, and in applications to rehabilitation based on sensory substitution.
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14

Kulshreshtha, Manisha, and Ramkumar Mathur. Dialect Accent Features for Establishing Speaker Identity: A Case Study. Springer, 2014.

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15

Kulshreshtha, Manisha, and Ramkumar Mathur. Dialect Accent Features for Establishing Speaker Identity: A Case Study. Springer, 2012.

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16

Ruxton, Graeme D., William L. Allen, Thomas N. Sherratt, and Michael P. Speed. Disruptive camouflage. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199688678.003.0003.

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Disruptive camouflage involves using coloration to hinder detection or recognition of an object’s outline, or other conspicuous features of its body. This involves using coloration to create ‘false’ edges that make the ‘true’ interior and exterior edges used by visual predators to find and recognize prey less apparent. Disruptive camouflage can therefore be thought of as a manipulation of the signal-to-noise ratio that depends on features of the perceptual processing of receivers. This chapter discusses the multiple mechanisms via which disruptive camouflage is thought to influence visual processing, from edge detection, through perceptual grouping, and then on to object recognition processing. This receiver-centred approach—rather than a prey-phenotype-centred approach—aims to integrate disruption within the sensory ecology of predator–prey interactions. We then discuss the taxonomic, ecological, and behavioural correlates of disruptive camouflage strategies, work on the relationship between disruption and other forms of protective coloration, and review the development of approaches to quantifying disruption in animals.
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17

Wade, Nicholas J. Hidden Images. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0113.

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It is relatively easy to hide pictorial images, but this is of little value if they remain hidden. Presenting hidden images for visual purposes is a modern preoccupation, and some of the perceptual processes involved in them are described in this chapter. Pictorial images can be concealed in terms of detection or recognition. In both cases there is interplay between the global features of the concealed image and the local elements that carry it. Gestalt grouping principles can hinder as well as help recognition. Examples of images (mostly faces) hidden in geometrical designs and text as well as orientation are shown. Rather than being pictorial puzzles alone, hidden images can reveal aspects of visual processing. This chapter explores these concepts and related ideas such as perceptual portraits and pictorial puzzles.
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18

Bergmann, Thomas. Music Therapy for People with Autism Spectrum Disorder. Edited by Jane Edwards. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199639755.013.35.

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Music as a non-verbal form of communication and play addresses the core features of autism, such as social impairments, limited speech, stereotyped behaviors, sensory-perceptual impairments, and emotional dysregulation; thus music-based interventions are well established in therapy and education. Music therapy approaches are underpinned by behavioral, creative, sensory-perceptional, developmental, and educational theory and research. The effectiveness of music therapy in the treatment of children with autism spectrum disorder (ASD) is reflected by a huge number of studies and case reports; current empirical studies aim to support evidence-based practice. A treatment guide for improvisational music therapy provides unique interventions to foster social skills, emotionality, and flexibility; in developmental approaches, the formation of interpersonal relationships is key. Since ASD is a lifelong neurodevelopmental condition, music therapy is also appropriate in the treatment of adults with intellectual disability. Diagnostic approaches using musical-interactional settings to assess ASD symptomatology are promising, especially in non-speakers.
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19

Kubozono, Haruo, ed. The Phonetics and Phonology of Geminate Consonants. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198754930.001.0001.

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Geminate consonants, also known as long consonants, appear in many languages in the world, and how they contrast with their short counterparts, or singletons (e.g. /tt/ vs. /t/), is an important topic that features in most linguistics and phonology textbooks. However, neither their phonetic manifestation nor their phonological nature is fully understood, much less their cross-linguistic similarities and differences. As the first volume specifically devoted to the phonetics and phonology of geminate consonants, this book aims to bring together novel, original data and analyses concerning many individual languages in different parts of the world, to present a wide range of perspectives for the study of phonological contrasts in general by introducing various experimental (acoustic, perceptual, physiological, and electrophysiological) and non-experimental methodologies, and to discuss phonological contrasts in a wider context than is generally considered by looking also at the behaviour of geminate consonants in loanword phonology and language acquisition. Studying geminate consonants requires interdisciplinary approaches including experimental phonetics (acoustics and speech perception), theoretical phonology, speech processing, neurolinguistics, and language acquisition. Providing phonetic and phonological details about geminate consonants across languages will greatly contribute to research in these fields.
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20

Brant, Jo-Ann A. The Fourth Gospel as Narrative and Drama. Edited by Judith M. Lieu and Martinus C. de Boer. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198739982.013.11.

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This chapter examines the development and trajectories of the study of the Gospel of John as a unified narrative, Johannine literary techniques, and how the experience of the reader becomes a significant focus of research. Besides looking at the role of recognition and reversals in the Gospel’s plot and the distinctive features of Johannine characterization, special attention is given to the use of techniques that give the Gospel a dramatic quality. These include such things as the use of direct speech to tell the story and to serve as the main action, Johannine construction of space and time to provide a sense of ‘lived experience’, and the role of irony and suspense as a means of engaging the reader.
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