Дисертації з теми "Binaural localization"
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Reid, Greg L. "Active binaural sound localization techniques, experiments and comparisons." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39225.pdf.
Повний текст джерелаWang, Qiang 1968. "Underwater object localization using a biomimetic binaural sonar." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80359.
Повний текст джерелаIncludes bibliographical references (leaves 85-89).
by Qiang Wang.
S.M.in Oceanographic Engineering
Jansson, Conny. "Servostyrning med binaural ljudlokalisering." Thesis, Linköpings universitet, Institutionen för systemteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117605.
Повний текст джерелаKeyrouz, Fakheredine. "Efficient binaural sound localization for humanoid robots and telepresence applications." kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/648977/648977.pdf.
Повний текст джерелаBenichoux, Victor. "Timing cues for azimuthal sound source localization." Phd thesis, Université René Descartes - Paris V, 2013. http://tel.archives-ouvertes.fr/tel-00931645.
Повний текст джерелаWoodruff, John F. "Integrating Monaural and Binaural Cues for Sound Localization and Segregation in Reverberant Environments." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1332425718.
Повний текст джерелаKyweriga, Michael. "The Synaptic Mechanisms Underlying Binaural Interactions in Rat Auditory Cortex." Thesis, University of Oregon, 2014. http://hdl.handle.net/1794/18442.
Повний текст джерелаKim, Ui-Hyun. "Improvement of Sound Source Localization for a Binaural Robot of Spherical Head with Pinnae." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180475.
Повний текст джерелаSchölling, Björn. "Binaural signal processing for source localization and noise reduction with applications to mobile robotics." Münster Verl.-Haus Monsenstein und Vannerdat, 2009. http://d-nb.info/994281242/04.
Повний текст джерелаGoeckel, Tom [Verfasser], Gerhard [Akademischer Betreuer] Lakemeyer, and Hermann [Akademischer Betreuer] Wagner. "Efficient Binaural Sound Localization in Noisy and Reverberant Environments / Tom Goeckel ; Gerhard Lakemeyer, Hermann Wagner." Aachen : Universitätsbibliothek der RWTH Aachen, 2015. http://d-nb.info/1130402738/34.
Повний текст джерелаLerborn, Liam. "Binaural ljudlokalisering av vertikala ljudkällor : En undersökning om spatial ljudlokalisering i ett förstapersonsspel." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13714.
Повний текст джерелаWidman, Ludvig. "Binaural versus Stereo Audio in Navigation in a 3D Game: Differences in Perception and Localization of Sound." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85512.
Повний текст джерелаBustamante, Gabriel. "Mouvement actif pour la localisation binaurale de sources sonores en robotique." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30211/document.
Повний текст джерелаThis work takes place within the field of sound source localization from a binaural sensor (consisting of two microphones placed on a diffusing element) endowed with mobility. An "active" three-phase localization scheme is considered: (a) estimation of spatial primitives by a short-term analysis of the audio stream; (B) audio-motor localizatio! n by assimilation of these data and combination with the! motor commands of the sensor within a stochastic estimation scheme; (C) closed-loop control of the movement of the sensor in order to improve the quality of the location. The research focuses on the definition of "active motion" strategies constituting phase (c). The problem is formulated as the maximization over a receding horizon of an information criterion defined from the filtering pdfs of the relative sensor-to-source position (more exactly of the maximization of its expectation on the N observations that will be assimilated on this horizon conditionally to the past observations). This horizon can consist of the next time instant or the next N time instants, what gives rise to a "one-step-ahead" or "N-step-ahead" strategy, respectively. An approximation of this criterion by using the unscented transform and the automatic calculation of its gradient by using the dual numbers allow the determination of the control (therefore, in closed loop on the audio) to be applied to the sensor. The results were validated by realistic simulations and, for some of them, by experiments on an anthropomorphic head-and-torso simulator endowed with binaural perception and mobility
Colbert, Debborah. "Manatee Sound Localization: Performance Abilities, Interaural Level Cues, and Usage of Auditory Evoked Potential Techniques to Determine Sound Conduction Pathways." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002489.
Повний текст джерелаZohourian, Mehdi [Verfasser], Rainer [Gutachter] Martin, and Peter [Gutachter] Vary. "Contributions to binaural speaker localization and separation for dynamic acoustic scenarios / Mehdi Zohourian ; Gutachter: Rainer Martin, Peter Vary ; Fakultät für Elektrotechnik und Informationstechnik." Bochum : Ruhr-Universität Bochum, 2019. http://d-nb.info/1195221258/34.
Повний текст джерелаNovotný, Ota. "Psychoakustická měření binaurálních vlastností lidského sluchu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218742.
Повний текст джерелаCumming, John Freeman IV. "The Ability of Hamsters (Mesocricetus auratus) to Use the Binaural Phase Cue to Localize Sound." University of Toledo / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo156475592795121.
Повний текст джерелаMouba, Ndjila Joan. "Manipulations spatiales de sons spectraux." Thesis, Bordeaux 1, 2009. http://www.theses.fr/2009BOR13869/document.
Повний текст джерелаIn active listening applications, it is important to be able to interact with individual sources present in the mix, for example by changing their spatial position. In this thesis, we proposed techniques for binaural localization and spatialization, based on interaural differences in amplitude and in time of arrival. The techniques are developed in the time-frequency plane. They can locate and project sources in the space surrounding a listener. We also developed binaural source separation methods based on the Maximum Likelihood and on spatial probabilistic masks. Finally, we extended binaural spatialization techniques to multi-diffusion techniques which use a set of speakers for diffusion. The proposed techniques are tested and compared to referenced, well-known techniques. For similar performance with the existing ones, our proposed techniques highlight complexity advantages and are suitable for real-time applications
Dabak, Anand Ganesh. "Binaural localization using interaural cues." Thesis, 1990. http://hdl.handle.net/1911/13424.
Повний текст джерелаReid, Gregory Lawrence. "Active binaural sound localization techniques, experiments and comparisons." 1999. http://wwwlib.umi.com/cr/yorku/fullcit?pMQ39225.
Повний текст джерелаTypescript. Includes bibliographical references (leaves 65-66). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pMQ39225.
Pan, Yu-Kai, and 潘郁凱. "Humanoid Binaural Auditory Localization of Single Sound Source." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/jrt25k.
Повний текст джерела國立臺灣大學
電信工程學研究所
105
In this thesis, we use the binaural-microphone technique to process the sound source localization, and apply the Head-related Transfer Functions (HRTFs) to generate sound signals for the left and right ears in an anechoic environment. The auditory sound source localization system is bio-inspired structures and mechanisms such as the tonotopic organization and the biological nervous system operating principle. The Auditory Peripheral Module in the IPEM Toolbox of the MATLAB library is then applied to simulate the cochlear and convert the sound signal into the neural pulse rate. After the cochlear model, Nengo, a software for simulating neural systems, is applied to simulate Medial Superior Olive (MSO) and Lateral Superior Olive (LSO) for computing ITD and ILD, respectively. The Inferior Colliculus (IC) is finally added to estimate the location of the sound source by integrating the outputs of MSO and LSO. Results of numerical experiments show 82 % accuracy under anechoic environment, but the system becomes not so accurate if echoes with sufficient delay are also received. Nevertheless, we believe that our system can achieve better accuracy, if the echo-processing in IC can be simulated, too. With such revisions, we believe that our system can be more adapted to realistic auditory environments.
Dingle, Rachel Neville. "A three-channel model of human binaural sound localization." 2012. http://hdl.handle.net/10222/14550.
Повний текст джерелаLiu, Wei-Han, and 劉維瀚. "Binaural room distribution pattern for nonstationary sound source localization." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/87458499407437078703.
Повний текст джерела國立交通大學
電機與控制工程系所
96
Nature sound sources are usually nonstationary and the real environment contains complex reverberations. Therefore, nonstationary sound source localization in a reverberant environment is an important research topic. This dissertation discusses the relationships between the nonstationarity of sound sources and the distribution patterns of interaural phase differences (IPDs) and interaural level differences (ILDs) based on short-term frequency analysis. The level fluctuation of nonstationary sound sources is modeled by the exponent of polynomials from the concept of moving pole model. According to this model, the sufficient condition for utilizing the distribution patterns of IPDs and ILDs to localize a nonstationary sound source is suggested and the phenomena of multiple peaks in the distribution pattern can be explained. Simulation is performed to verify the proposed analysis. Furthermore, a Gaussian-mixture binaural room distribution model (GMBRDM) is proposed to model distribution patterns of IPDs and ILDs for nonstationary sound source localization. The effectiveness and performance of the proposed GMBRDM are demonstrated by experimental results. The proposed nonstationary sound source localization algorithm is adopted for robot localization application. A novel and robust robot location and orientation detection method based on sound field features is proposed. Unlike conventional methods, the proposed method does not explicitly utilize the information of direct sound propagation path from sound source to microphones, nor attempt to suppress the reverberation and noise signals. Instead, the proposed method utilizes the sound field features obtained when the robot is at different location and orientation in an indoor environment. The experimental results show that the proposed method using only two microphones can detect robot’s location and orientation under both line-of-sight and non-line-of-sight cases and can be applied to both near-field and far-field conditions. Since this method can provide global location and orientation detection, it is suitable to fuse with other localization methods to provide initial conditions for reduction of the search effort, or to provide the compensation for localizing certain locations that cannot be detected using other localization methods.
Chen, Chung-Yuan, and 陳重源. "Indoor Navigation for a Robot with Humanoid Binaural Auditory Localization." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8n6pw4.
Повний текст джерела國立臺灣大學
電信工程學研究所
107
Here we propose a novel robot system which can navigate in indoor environments with spatial cues from the binaural sound. The system receives audio signals with a set of binaural microphones that has a pair of 3-D printed ear mockups for realistically acoustic effect. Afterwards, a series of neural models imitating human''s auditory pathway process the sound signal into neural signals of various stages, e.g., cochlea, superior olivary complex, inferior colliculus, and finally primary auditory cortex, extracting the ITD and ILD information of the sound. Meanwhile, the neural models for analog-front-end signal processing are simulated with various biologically plausible, realistic module or neural modeling tools, the IPEM toolbox and the Nengo simulator. The primary auditory cortex which is responsible for inferring the sound source azimuth is modeled with a supervised-learning deep neural network, with Keras and Tensorflow, to mimic the plasticity of the brain auditory cortex. Finally, a navigation planner generates goals based on the proposed intelligence levels and guide the robot base to explore the sound source. In the hardware aspect, the system is implemented on a Turtlebot3 base as the mobile robot and a GPU-accelerated PC for neural network simulations. The design, implementation details, and testing results are revealed, analyzed and discussed.
Keyrouz, Fakheredine [Verfasser]. "Efficient binaural sound localization for humanoid robots and telepresence applications / Fakheredine Keyrouz." 2008. http://d-nb.info/989471241/34.
Повний текст джерелаMullin, Amy Ruth. "Horizontal localization and hearing in noise ability in adults with sensorineural hearing loss using hearing aids with binaural processing." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-05-729.
Повний текст джерелаtext
Calmes, Laurent [Verfasser]. "Biologically inspired binaural sound source localization and tracking for mobile robots / vorgelegt von Laurent Calmes." 2009. http://d-nb.info/1000889858/34.
Повний текст джерелаTalagala, Dumidu Sanjaya. "Array signal processing algorithms for localization and equalization in complex acoustic channels." Phd thesis, 2013. http://hdl.handle.net/1885/11756.
Повний текст джерелаTóth, Peter. "Modelování binaurálního slyšení." Doctoral thesis, 2020. http://www.nusl.cz/ntk/nusl-435793.
Повний текст джерелаTóth, Peter. "Zpracování zvuku v emulátoru kochleárního implantátu." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-314007.
Повний текст джерелаAaronson, Neil L. "Speech-on-speech masking in a front-back dimension and analysis of binaural parameters in rooms using MLS methods." Diss., 2008.
Знайти повний текст джерелаLi, Na 1980 Oct 2. "Binaural mechanism revealed with in vivo whole cell patch clamp recordings in the inferior colliculus." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-12-2065.
Повний текст джерелаtext
"The Value of Two Ears for Sound Source Localization and Speech Understanding in Complex Listening Environments: Two Cochlear Implants vs. Two Partially Hearing Ears and One Cochlear Implant." Doctoral diss., 2013. http://hdl.handle.net/2286/R.I.17809.
Повний текст джерелаDissertation/Thesis
Ph.D. Speech and Hearing Science 2013