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• W2336267971 abstract "In this dissertation, frequency bin selection is proposed as a method to reduce the computational cost of blind source separation (BSS) based on frequency domain independent component analysis (FDICA). Clear voice quality is expected by users when communicating through speech processing equipment such as teleconferencing equipment and mobile telephones. Speech processing equipment is usually manufactured with embedded processors, especially digital signal processors (DSP), because of their low electric power consumption and the need for real-time processing. BSS has been widely investigated for use in speech enhancement applications for the purpose of obtaining higher voice quality, and FDICA is one of the most popular methods used by researchers to perform BSS. This is because acoustic conditions are usually reverberant, and FDICA is an inverse filter method, and thus minimizes reverberation influence. However, the computational cost of FDICA is quite high because FDICA estimates inverse filter coefficients in each frequency bin using an optimization scheme employing higher-order statistics, usually an iterative update algorithm. Current DSPs can achieve high levels of performance, however the appropriate choice of a DSP strongly depends on the specifications of the speech processing equipment in which it is to be used. For mobile devices, due to battery life considerations, low-powered DSPs are normally used. ICA stores long-term observed signals because its optimization scheme employing higher-order statistics, so that the external memory usually consists of dynamic random access memory (DRAM). However, the required wait states of DRAM is another issue, because of the waste of electric power this involves. In addition, the amount of power wasted is not negligible. Therefore, implementing FDICA using embedded processors is difficult, despite the high performance of current DSPs. The proposed method aims at reducing computational cost by reducing the number of frequency bins in" @default.
• W2336267971 created "2016-06-24" @default.
• W2336267971 creator A5004224115 @default.
• W2336267971 creator A5021841017 @default.
• W2336267971 date "2014-07-31" @default.
• W2336267971 modified "2023-09-24" @default.
• W2336267971 title "Blind source separation with the low computational costs for the mobile and portable speech equipment" @default.
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