Relevant bibliographies by topics / Auditory processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Auditory processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Auditory processing"

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McPherson, David. "Auditory Processing Disorders." International Journal of Audiology 48, no. 11 (January 2009): 822. http://dx.doi.org/10.3109/14992020903121167.

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Lauter, Judith L. "Central auditory processing." Current Opinion in Otolaryngology & Head and Neck Surgery 7, no. 5 (October 1999): 274–81. http://dx.doi.org/10.1097/00020840-199910000-00011.

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Kraus, Nina, and Karen Banai. "Auditory-Processing Malleability." Current Directions in Psychological Science 16, no. 2 (April 2007): 105–10. http://dx.doi.org/10.1111/j.1467-8721.2007.00485.x.

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Bellis, Teri James. "Auditory processing disorders." Hearing Journal 56, no. 5 (May 2003): 10–19. http://dx.doi.org/10.1097/01.hj.0000293883.42025.ca.

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Chermak, Gail D. "Auditory processing disorder." Hearing Journal 54, no. 7 (July 2001): 10–25. http://dx.doi.org/10.1097/01.hj.0000294109.14504.d8.

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Bartlett, Krista, Elissa Kelley, Julie Purdy, and Martin T. Stein. "Auditory Processing Disorder." Journal of Developmental & Behavioral Pediatrics 38, no. 5 (June 2017): 349–51. http://dx.doi.org/10.1097/dbp.0000000000000450.

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Paul, Rhea. "Auditory Processing Disorder." Journal of Autism and Developmental Disorders 38, no. 1 (August 25, 2007): 208–9. http://dx.doi.org/10.1007/s10803-007-0437-6.

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Bamiou, D. E., and L. M. Luxon. "Auditory processing disorders." BMJ 337, no. 17 1 (November 17, 2008): a2080. http://dx.doi.org/10.1136/bmj.a2080.

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Humes, Larry E. "Do ???Auditory Processing??? Tests Measure Auditory Processing in the Elderly?" Ear and Hearing 26, no. 2 (April 2005): 109–19. http://dx.doi.org/10.1097/00003446-200504000-00001.

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Chermak, Gail, Frank Musiek, and Jeffrey Weihing. "Auditory Training for Central Auditory Processing Disorder." Seminars in Hearing 36, no. 04 (October 26, 2015): 199–215. http://dx.doi.org/10.1055/s-0035-1564458.

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Dissertations / Theses on the topic "Auditory processing"

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Kargas, Nikolaos. "Auditory processing and autistic symptomatology." Thesis, University of Portsmouth, 2014. https://researchportal.port.ac.uk/portal/en/theses/auditory-processing-and-autistic-symptomatology(15b5d88d-c17c-416c-b898-0bd02fb1b8a2).html.

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Autism spectrum disorders (ASD) are defined in terms of qualitative atypicalities in social communication and interaction in the presence of restricted, repetitive patterns of behaviour, interests and activities (RRBs). Part of the main criteria for RRBs is hyper/hypo reactivity to sensory input, which appear to be particularly prevalent in the auditory domain and could result in atypical behaviours (APA, 2013). Despite the crucial role that sensory processing plays in learning, attention, cognitive and brain maturation, emotional regulation, and social communication development in humans (e.g., Ahn et al., 2004; Bundy et al., 2007), it remains unclear what precisely causes the sensory atypicalities observed in ASD or how they are associated with the development of key autistic symptomatology such as impairments in social communication (e.g., Jones et al., 2009; Leekam Prior & Uljarević, 2011). Thus, the main aim of the present thesis is to explore the nature of the auditory sensory issues and their relationship with core symptoms (i.e., RRBs and communicative ability) in ASD and the broader autism phenotype (BAP). In addition, the associations among speech perception and production, and communication were investigated. Four studies were conducted using adult samples with and without ASD. Chapter 2 reports findings indicating that the perception of intensity and frequency auditory parameters influence the severity of RRBs and that primary auditory discrimination abilities are characterised by high variability in ASD. Chapters 3 & 4 present evidence showing that the relationship between auditory intensity perception and sensation avoiding behaviours contribute to the communicative difficulties observed in adults with ASD or high levels of autistic traits. Chapter 5 provides a direct demonstration of deficits on primary syllable stress perception in ASD and its role on the speech production abnormalities and socio-communicative atypicalities in ASD. Taken together, the outcome of these investigations highlights the importance of considering the development of core autistic symptoms as an interactional multi-developmental process, which extends into the general population.
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Holt, Maria M. "Spatial auditory processing in pinnipeds /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2006. http://uclibs.org/PID/11984.

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Cowan, Justin A. "Auditory processing disorder in children." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441013.

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Cooke, Martin Peter. "Modelling auditory processing and organisation." Thesis, University of Sheffield, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311852.

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Elangovan, Saravanan. "Language Experiences Influence Auditory Processing." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etsu-works/1557.

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Elangovan, Saravanan. "Auditory Processing Disorders in Children." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/1577.

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Stewart, Hannah J. "Auditory selective attention in typical development and Auditory Processing Disorder." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/39178/.

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This thesis examines auditory selective attention as a possible cause of Auditory Processing Disorder (APD). APD is a diagnosis based on the clinical needs of the 5% of children who present with listening difficulties but demonstrate normal hearing. This thesis will focus on developmental APD, which affects children with no known infection, trauma or primary cause inducing their listening difficulties. It will seek to address the current lack of understanding of the root causes of APD, which leads to significant variation in clinical referral routes, resulting in inconsistent methods of diagnosis and treatment. APD has historically been approached via a bottom-up route of assessing auditory processing skills, such as temporal-spatial abilities. The inconsistent results of bottom-up studies has led to debate regarding the diagnosis and treatment of APD, resulting in extensive batteries of tests being conducted on children. However, recent evidence suggests that studies on the causality of APD should be refocused on top-down processes such as auditory attention and memory – hence the focus of this thesis on auditory selective attention. The thesis begins by assessing a new test of auditory selective attention, the Test of Attention in Listening (TAiL), to ensure that it measures auditory rather than supramodal attention. Having established the modality-specificity of TAiL, the thesis examines the development of auditory selective attention to both spatial and non-spatial auditory stimulus features, across tasks of varying levels of perceptual demand. Finally, the thesis assesses the selective attention ability of children with listening difficulties. Specifically, listeners’ selective attention is assessed in both the auditory and visual domains, using both spatially- and non-spatially-based tasks. If auditory selective attention deficits are found in those with listening difficulties, this will provide a basis for the diagnosis and treatment of APD to be constructed and managed from a psychological viewpoint rather than an audiological one.
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Estelle, Dawn N. "Central auditory processing disorders Outcome Measures /." Cincinnati, Ohio : University of Cincinnati, 2005. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1121349085.

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Thesis (M.A.)--University of Cincinnati, 2005.
Title from electronic thesis title page (viewed Mar. 3, 2006). Includes abstract. Keywords: Central Auditory Processing Disorders. Includes bibliographical references.
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Walters, Thomas C. "Auditory-based processing of communication sounds." Thesis, University of Cambridge, 2011. https://www.repository.cam.ac.uk/handle/1810/240577.

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This thesis examines the possible benefits of adapting a biologically-inspired model of human auditory processing as part of a machine-hearing system. Features were generated by an auditory model, and used as input to machine learning systems to determine the content of the sound. Features were generated using the auditory image model (AIM) and were used for speech recognition and audio search. AIM comprises processing to simulate the human cochlea, and a 'strobed temporal integration' process which generates a stabilised auditory image (SAI) from the input sound. The communication sounds which are produced by humans, other animals, and many musical instruments take the form of a pulse-resonance signal: pulses excite resonances in the body, and the resonance following each pulse contains information both about the type of object producing the sound and its size. In the case of humans, vocal tract length (VTL) determines the size properties of the resonance. In the speech recognition experiments, an auditory filterbank was combined with a Gaussian fitting procedure to produce features which are invariant to changes in speaker VTL. These features were compared against standard mel-frequency cepstral coefficients (MFCCs) in a size-invariant syllable recognition task. The VTL-invariant representation was found to produce better results than MFCCs when the system was trained on syllables from simulated talkers of one range of VTLs and tested on those from simulated talkers with a different range of VTLs. The image stabilisation process of strobed temporal integration was analysed. Based on the properties of the auditory filterbank being used, theoretical constraints were placed on the properties of the dynamic thresholding function used to perform strobe detection. These constraints were used to specify a simple, yet robust, strobe detection algorithm. The syllable recognition system described above was then extended to produce features from profiles of the SAI and tested with the same syllable database as before. For clean speech, performance of the features was comparable to that of those generated from the filterbank output. However when pink noise was added to the stimuli, performance dropped more slowly as a function of signal-to-noise ratio when using the SAI-based AIM features, than when using either the filterbank-based features or the MFCCs, demonstrating the noise-robustness properties of the SAI representation. The properties of the auditory filterbank in AIM were also analysed. Three models of the cochlea were considered: the static gammatone filterbank, dynamic compressive gammachirp (dcGC) and the pole-zero filter cascade (PZFC). The dcGC and gammatone are standard filterbank models, whereas the PZFC is a filter cascade, which more accurately models signal propagation in the cochlea. However, while the architecture of the filterbanks is different, they have all been successfully fitted to psychophysical masking data from humans. The abilities of the filterbanks to measure pitch strength were assessed, using stimuli which evoke a weak pitch percept in humans, in order to ascertain whether there is any benefit in the use of the more computationally efficient PZFC.Finally, a complete sound effects search system using auditory features was constructed in collaboration with Google research. Features were computed from the SAI by sampling the SAI space with boxes of different scales. Vector quantization (VQ) was used to convert this multi-scale representation to a sparse code. The 'passive-aggressive model for image retrieval' (PAMIR) was used to learn the relationships between dictionary words and these auditory codewords. These auditory sparse codes were compared against sparse codes generated from MFCCs, and the best performance was found when using the auditory features.
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MacDonald, Katie Mary. "Electrophysiological investigation of auditory temporal processing." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43694.

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Infant hearing-health programs have a goal of identifying infants with a permanent hearing loss by the age of three months and treating these infants by the age of six months. However, deficits in hearing thresholds are not the only deficits that exist in the auditory system. The ability of an infant's auditory system to resolve rapid changes in acoustic signals (i.e., temporal resolution) and integrate acoustic information over time (i.e., temporal integration) is important for typical language development. Because behavioural responses are unreliable for diagnostic purposes before the age of six months, electrophysiological measures of temporal resolution and integration could be beneficial. The main objective of my thesis was to validate in adults if 80-Hz auditory steady-state responses (ASSRs, an objective electrophysiological measure) can be used to assess temporal resolution and integration. Physiological temporal resolutions of adults were estimated from cortical auditory evoked potentials (CAEPs) and ASSR resets evoked by gaps (1.5625, 3.125, 6.25, 12.5, and 25 ms) within 40-Hz and 80-Hz amplitude-modulated white-noise bursts. Physiological gap-detection thresholds for CAEPs (8 ± 6 ms, averaged across conditions), 40-Hz ASSR resets (6 ± 5 ms), and 80-Hz ASSR resets (5 ± 4 ms) were comparable to behavioural gap-detection thresholds (5 ± 2 ms). However, 40- and 80-Hz ASSRs maximally reset to half-cycle gap durations (i.e. 12.5 and 6.25 ms respectively), thus ASSR resets might not be truly measuring gap-detection thresholds. Conflicting results from CAEPs and ASSR resets to gaps provides evidence that CAEPs respond preferentially to all gaps down to threshold; whereas, ASSRs preferentially reset to gaps that violate their modulation periodicity. Physiological integration times (117 ± 48 ms, averaged across conditions), as measured from the rise time of the ASSR resets, were comparable to behavioural measurements of temporal integration (132 ± 83 ms). However, more research is required to determine if physiological and behavioural integration times are correlated or are coincidentally similar. These results indicate that CAEPs are accurate measures of temporal resolution. However, further research is required to determine the utility of ASSR resets in assessing temporal resolution and integration.
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Books on the topic "Auditory processing"

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Pressnitzer, Daniel, Alain de Cheveigné, Stephen McAdams, and Lionel Collet, eds. Auditory Signal Processing. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/b138516.

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Ohmori, Harunori. Auditory Information Processing. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9713-5.

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Cooke, Martin. Modelling auditory processing and organisation. Cambridge [England]: Cambridge University Press, 1993.

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Press, Leonard J. Parallels between auditory & visual processing. Santa Ana, CA: Optometric Extension Program Foundation, 2012.

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DeGaetano, Jean Gilliam. Auditory processing in dinosaur land. Wrightville Beach, NC: Great Ideas for Teaching!, 1994.

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Schouten, Marten E., ed. The Auditory Processing of Speech. Berlin, Boston: DE GRUYTER MOUTON, 1992. http://dx.doi.org/10.1515/9783110879018.

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A, Yost William, Watson Charles S, United States. Air Force. Office of Scientific Research., and Sarasota Workshop on Auditory Processing of Complex Sounds (1986), eds. Auditory processing of complex sounds. Hillsdale, N.J: L. Erlbaum Associates, 1987.

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Austin, Stecker Nancy, and Katz Jack, eds. Central auditory processing disorders: Mostly management. Boston, Mass: Allyn and Bacon, 1998.

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Ainsworth, W. A., Steven Greenberg, and Richard R. Fay. Speech processing in the auditory system. New York: Springer, 2011.

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Handbook of central auditory processing disorder. San Diego, CA: Plural Publishing, 2014.

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Book chapters on the topic "Auditory processing"

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Decker, Scott L., and Jessica A. Carboni. "Auditory Processing." In Encyclopedia of Clinical Neuropsychology, 303. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1437.

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Decker, Scott L., and Rachel M. Bridges. "Auditory Processing." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1437-2.

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Decker, Scott L., and Rachel M. Bridges. "Auditory Processing." In Encyclopedia of Clinical Neuropsychology, 415–16. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1437.

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Norbury, Courtenay. "Auditory Processing." In Encyclopedia of Autism Spectrum Disorders, 319–22. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_516.

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Norbury, Courtenay. "Auditory Processing." In Encyclopedia of Autism Spectrum Disorders, 418–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_516.

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Ohmori, Harunori. "Central Auditory Processing." In Auditory Information Processing, 111–44. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9713-5_3.

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Colburn, H. Steven. "Computational Models of Binaural Processing." In Auditory Computation, 332–400. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-4070-9_8.

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Dau, Torsten. "Auditory Processing Models." In Handbook of Signal Processing in Acoustics, 175–96. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-30441-0_12.

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Barone, Pascal, and Olivier Deguine. "Multisensory Processing in Cochlear Implant Listeners." In Auditory Prostheses, 365–81. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9434-9_15.

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Ohmori, Harunori. "Hair Cell Mechano-electrical Transduction and Synapse Transmission." In Auditory Information Processing, 1–41. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9713-5_1.

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Conference papers on the topic "Auditory processing"

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Massaro, Dominic W. "Auditory visual speech processing." In 7th European Conference on Speech Communication and Technology (Eurospeech 2001). ISCA: ISCA, 2001. http://dx.doi.org/10.21437/eurospeech.2001-299.

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Gao, Yuqing, Taiyi Huang, Shaoyan Chen, and Jean-Paul Haton. "Auditory model based speech processing." In 2nd International Conference on Spoken Language Processing (ICSLP 1992). ISCA: ISCA, 1992. http://dx.doi.org/10.21437/icslp.1992-21.

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Grant, Ken W., and Steven Greenberg. "Spectro-temporal interactions in auditory and auditory-visual speech processing." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-706.

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Boboshko, M. Yu, I. P. Berdnikova, N. V. Maltseva, D. I. Kaplun, V. V. Gulvanskiy, and A. S. Voznesenskiy. "Evaluation of human auditory system immunity under central auditory processing disorders." In 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM). IEEE, 2017. http://dx.doi.org/10.1109/scm.2017.7970550.

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Berthommier, F., and J. L. Schwartz. "Auditory Processing with spatio-temporal codes." In Final Program and Paper Summaries 1991 IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics. IEEE, 1991. http://dx.doi.org/10.1109/aspaa.1991.634093.

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Gao, Y., T. Huang, and J. P. Haton. "Central auditory model for spectral processing." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319409.

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Borggraefe, Ingo, Florian Heinen, and Aurelia Peraud. "Startle Seizures, SMA and Auditory Processing." In Abstracts of the 45th Annual Meeting of the Society for Neuropediatrics. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1698158.

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Sumner, C. J., and D. F. Gillies. "Lateral inhibitory networks for auditory processing." In 5th European Conference on Speech Communication and Technology (Eurospeech 1997). ISCA: ISCA, 1997. http://dx.doi.org/10.21437/eurospeech.1997-712.

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McKetton, Larissa, and Keith A. Schneider. "Auditory processing in absolute pitch possessors." In TO THE EAR AND BACK AGAIN - ADVANCES IN AUDITORY BIOPHYSICS: Proceedings of the 13th Mechanics of Hearing Workshop. Author(s), 2018. http://dx.doi.org/10.1063/1.5038484.

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Reid, Melanie, Blake Johnson, Genevieve McArthur, Anne Castles, and Michael Hautus. "Auditory processing in the dyslexic brain." In 9th Conference of the Australasian Society for Cognitive Science. Sydney: Macquarie Centre for Cognitive Science, 2010. http://dx.doi.org/10.5096/ascs200944.

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Reports on the topic "Auditory processing"

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Yost, William A. Auditory Processing During Head Movements. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada386908.

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Shofner, William P. Auditory Processing of Complex Sounds. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada224147.

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Ghitza, Oded. Auditory Peripheral Processing of Degraded Speech. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada420098.

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Shamma, Shihab, and P. S. Krishnaprasad. Theoretical and Experimental Studies of Auditory Processing. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada278505.

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Kowler, E., S. Sternberg, and R. M. Mulligan. Selective Mechanisms in Auditory and Bimodal Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada190529.

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Finneran, James J. New Approaches to Studying Auditory Processing in Marine Mammals. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada573477.

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Klein, David J., Jonathan Z. Simon, Didier A. Depireux, and Shihab A. Shamma. Linear Stimulus-Invariant Processing and Spectrotemporal Reverse Correlation in Primary Auditory Cortex. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada438561.

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Schnabel, Beverly. Central auditory processing in children with a history of chronic middle ear problems. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2781.

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(Central) Auditory Processing Disorders. Rockville, MD: American Speech-Language-Hearing Association, 2005. http://dx.doi.org/10.1044/policy.tr2005-00043.

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(Central) Auditory Processing Disorders—The Role of the Audiologist. Rockville, MD: American Speech-Language-Hearing Association, 2005. http://dx.doi.org/10.1044/policy.ps2005-00114.

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You might also be interested in the extended bibliographies on the topic 'Auditory processing' for particular source types:
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