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Dissertations / Theses on the topic 'Audiometry. Speech perception. Speech processing systems'

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1

Ng, H. N. Elaine. "Effects of noise type on speech understanding." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37990159.

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2

Ng, H. N. Elaine, and 吳凱寧. "Effects of noise type on speech understanding." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37990159.

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3

Yip, Ki-chun Charis, and 葉琪蓁. "Effects of noise on speech understanding in individuals with moderate to severe hearing loss." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44489948.

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4

Cummings, Kathleen E. "Analysis, synthesis, and recognition of stressed speech." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/15673.

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5

Chen, Xin. "Ensemble methods in large vocabulary continuous speech recognition." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5797.

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Thesis (M.S.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 28, 2008) Vita. Includes bibliographical references.
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6

Sanders, Lisa Diane. "Speech segmentation by native and non-native speakers : behavioral and event-related potential evidence /." view abstract or download file of text, 2001. http://wwwlib.umi.com/cr/uoregon/fullcit?p3018392.

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Thesis (Ph. D.)--University of Oregon, 2001.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 215-239). Also available for download via the World Wide Web; free to University of Oregon users.
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7

Menozi, Lucia B. S., David Ph D. Ryan, Kim S. Ph D. Schairer, Sherri L. Au D. Ph D. Smith, and Marcy K. Au D. Ph D. Lau. "Objective Measurement of Cognitive Systems During Effortful Listening." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/237.

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INTRODUCTION: Adults with hearing loss who report difficulty understanding speech with and without hearing aids often also report increased mental or listening effort. Although speech recognition measures are well known and have been in use for decades, measures of listening effort are relatively new and include objective measures such as working memory tasks, pupillometry, heart rate, skin conductance, and brain imaging. OBJECTIVES: The purpose of this study is to evaluate an electroencephalogram (EEG)-based method to assess cognitive states during a speech in noise perception task. METHODS:
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8

Cho, Jaeyoun. "Speech enhancement using microphone array." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1132239060.

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9

Rohani, Mehdiabadi Behrooz. "Power control for mobile radio systems using perceptual speech quality metrics." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0174.

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As the characteristics of mobile radio channels vary over time, transmit power must be controlled accordingly to ensure that the received signal level is within the receiver's sensitivity. As a consequence, modern mobile radio systems employ power control to regulate the received signal level such that it is neither less nor excessively larger than receiver sensitivity in order to maintain adequate service quality. In this context, speech quality measurement is an important aspect in the delivery of speech services as it will impact satisfaction of customers as well as the usage of precious sy
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10

Du, Toit Ilze. "Non-acoustic speaker recognition." Thesis, Stellenbosch : University of Stellenbosch, 2004. http://hdl.handle.net/10019.1/16315.

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Thesis (MScIng)--University of Stellenbosch, 2004.<br>ENGLISH ABSTRACT: In this study the phoneme labels derived from a phoneme recogniser are used for phonetic speaker recognition. The time-dependencies among phonemes are modelled by using hidden Markov models (HMMs) for the speaker models. Experiments are done using firstorder and second-order HMMs and various smoothing techniques are examined to address the problem of data scarcity. The use of word labels for lexical speaker recognition is also investigated. Single word frequencies are counted and the use of various word selections as
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11

Kalgaonkar, Kaustubh. "Probabilistic space maps for speech with applications." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42739.

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The objective of the proposed research is to develop a probabilistic model of speech production that exploits the multiplicity of mapping between the vocal tract area functions (VTAF) and speech spectra. Two thrusts are developed. In the first, a latent variable model that captures uncertainty in estimating the VTAF from speech data is investigated. The latent variable model uses this uncertainty to generate many-to-one mapping between observations of the VTAF and speech spectra. The second uses the probabilistic model of speech production to improve the performance of traditional speech algor
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12

Pelteku, Altin E. "Development of an electromagnetic glottal waveform sensor for applications in high acoustic noise environments." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0114104-142855/.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: basis functions; perfectly matched layers; PML; neck model; parallel plate resonator; finite element; circulator; glottal waveform; multi-transmission line; dielectric properties of human tissues; radiation currents; weighted residuals; non-acoustic sensor. Includes bibliographical references (p. 104-107).
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13

Manoonpong, Poramate. "Neural preprocessing and control of reactive walking machines : towards versatile artificial perception-action systems /." Berlin : Springer, 2007. http://sfx.ethz.ch/sfx_locater?sid=ALEPH:EBI01&genre=book&isbn=978-3-540-68802-0&id=doi:10.1007/978-3-540-68803-7.

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14

Magalhães, Ana Tereza de Matos. "Contribuição do avanço tecnológico do processador de fala para usuários de implante coclear Nucleus 22®." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/5/5143/tde-03012014-123922/.

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Objetivo: Identificar as contribuições tecnológicas do processador de fala Freedom® para pacientes implantados com Nucleus 22® e a satisfação dos usuários com a nova tecnologia. Entre os novos recursos disponíveis, foram analisados o efeito da tabela de alocação de frequências, o T-SPL e C-SPL e o ajuste de pré-processamento do som (ADRO®). Material: Este estudo foi prospectivo e exploratório. Foram incluídos adolescentes e adultos implantados com Nucleus 22® no Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, usuários efetivos do processador de fala Spectra®, com a
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15

Shi, Guangji. "Phase-based speech processing /." 2006. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=442445&T=F.

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16

Rapholo, Moyahabo Isaiah. "Incorporation of syntax and semantics to improve the performance of an automatic speech recognizer." Thesis, 2012. http://hdl.handle.net/10386/810.

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Thesis (M.Sc. (Computer Science)) -- University of Limpopo, 2012<br>Automatic Speech Recognition (ASR) is a technology that allows a computer to identify spoken words and translate those spoken words into text. Speech recognition systems have started to be used in may application areas such as healthcare, automobile, e-commerce, military, and others. The use of these speech recognition systems is usually limited by their poor performance. In this research we are looking at improving the performance of the baseline ASR systems by incorporating syntactic structures in grammar into an existing N
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17

Colombick, Illan Samson. "An experimental system for computer aided bird call recognition." Thesis, 2014.

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