Essays about: "multiple microphones"
Showing result 11 - 15 of 19 essays containing the words multiple microphones.
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11. A self-calibrating system for finger tracking using sound waves
University essay from Lunds universitet/Matematik LTHAbstract : In this thesis a system for tracking the fingers of a user using sound waves is developed. The proposed solution is to attach a small speaker to each finger and then have a number of microphones placed ad hoc around a computer monitor listening to the speakers. READ MORE
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12. Acoustic Solutions for Door Station
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : This thesis investigates how the audio quality in a door station can be improved by using multiple microphones and implementing beamforming. The concept of beamforming is explained, and two beamforming algorithms are implemented. These are tested with different microphone configurations in both simulated and real environments. READ MORE
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13. Distant Speech Recognition Using Multiple Microphones in Noisy and Reverberant Environments
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : .... READ MORE
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14. Robust Time Difference Estimation for Unknown Microphone Positions with Reverberation
University essay from Lunds universitet/Matematik LTHAbstract : In this thesis a system is developed for robust time difference estimation for multiple microphones in reverberant environments, without any knowledge of the 3D positions of the microphones or the room. RANSAC is used to find line segments in sets of frames containing a number of the largest GCC-PHAT peaks. READ MORE
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15. Sensor Array Optimization for Multiple Harmonic Sound Source Separation and DOA
University essay from Lunds universitet/Teknisk akustikAbstract : INTRODUCTION In the last years a lot of researches about source separation have been realized, like extraction of a signal of interest (vocal recognition application), identification of which source gives which sound (motor engine applications) or noise source characterization (environmental application). Most of these techniques for sound source estimation use the signal-subspace approach, where the number of emitting sources is determined by the multiplicity of the lowest eigenvalue of the correlation matrix. READ MORE