Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140435
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dc.contributor.authorAng, Qian Shanen_US
dc.date.accessioned2020-05-29T02:26:26Z-
dc.date.available2020-05-29T02:26:26Z-
dc.date.issued2020-
dc.identifier.urihttps://hdl.handle.net/10356/140435-
dc.description.abstractIn this report, a real time Blind Source Separation system will be created, whereby a microphone array is able to record and send recorded audio data into a central system via a network connection. Once the data is received, source separation is applied to achieve a multi-speaker speech recognition system. This will be done in real-time – small blocks of audio data will be sent as soon as it is recorded and the source will be separated in real time. A robust system will be created by ensuring data received is always complete and in the correct order. Performance will be optimised over a long period of time by compressing audio data when transmitting audio data. Finally, output of the system will be displayed.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleAcoustic microphone array applicationsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorAndy Khong W Hen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailAndyKhong@ntu.edu.sgen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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