Download Real-world Evaluation of Mobile Phone Speech Enhancement Algorithms PDF
ByWilliam Thomas O'Rourke
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Outside of a dog, a book is man's best friend. Inside of a dog it's too dark to read.
Synopsis
ABSTRACT: This work evaluates the performance of two new classes of automatic speech enhancement algorithms by modelling listening tests closer to real-world environments. Results from earlier listening tests show that the warped bandwidth expansion algorithm increases perceptual loudness and the energy redistribution voiced/unvoiced algorithm increases intelligibility of the speech without adding additional power to the speech signal. This thesis presents results from listening tests conducted with a model of realworld environments and provides a platform for cellular phone based listening tests. Both algorithms are combined on a frame basis to increase intelligibility and loudness. The speech signals are encoded and decoded to model effects of cellular phone vocoders. Three typical environmental noises (pink, babble and car) are used to test the algorithms' performance to noise. Perceptual techniques are used to calculate the signal to noise ratio (SNR). A speaker EQ model is used to emulate the frequency limits of cellular phone speakers. Finally, cellular phone based listening tests are developed using the Java 2 Micro Edition platform for Motorola iDEN Java enabled cellular phones. The listening tests resulted in a 4.8% intelligibility increase at -5dB SNR and a 4dB perceptual loudness increase for the combined algorithm. The cellular phone based listening tests will provide an ideal listening test environment once the Java environment is equipped with streaming audio abilities and the algorithms are implemented on the phone.
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