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- Adaptive signal processing;mobile computing;mobile handsets;signal denoising;speech processing;time-frequency analysis;APHONIC;SDR;SIR;Signal-Distortion Ratio;adaptive thresholding for noise cancellation;binary mask construction;busy city square sounds;interference signal;listening tests;magnitude coefficients;mobile phone users;mobile user speech;mobile voice-driven applications;noise figure 20.0 dB;noise figure 5.0 dB;real-world interfering signals;signal channel adaptive threshold selection technique;signal-to-interference ratio;smart mobile environments;subway;threshold learning;threshold selection step;time-frequency components;violin busker;Interference;Mobile communication;Mobile handsets;Noise cancellation;Time-frequency analysis;Transforms;Urban areas;Blind Source Separation;Human Computer Interaction;Mobile Computing;Mobile Voice-driven Applications;Noise Cancellation (1)
- Interference (1)
- Mobile communication (1)
- Mobile handsets (1)
- Noise cancellation (1)
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Tiled Time Delay Estimation In Mobile Cloud Computing Environments, Ruairí De Fréin
Tiled Time Delay Estimation In Mobile Cloud Computing Environments, Ruairí De Fréin
Conference papers
We present a tiled delay estimation technique in the context of Mobile Cloud Computing (MCC) environments. We examine its accuracy in the presence of multiple sources for (1) sub-sample delays and also (2) in the presence of phase-wrap around. Phase wrap-around is prevalent in MCC because the separation of acoustic sources may be large. We show that tiling a histogram of instantaneous phase estimates can improve delay estimates when phase-wrap around is sig- nificantly present and also when multiple sources are present. We report that error in the delay estimator is generally less than 5% of a sample, when the …
Aphonic: Adaptive Thresholding For Noise Cancellation In Smart Mobile Environments, Ruairí De Fréin
Aphonic: Adaptive Thresholding For Noise Cancellation In Smart Mobile Environments, Ruairí De Fréin
Conference papers
We propose a signal-channel, adaptive threshold selection technique for binary mask construction, namely APHONIC, (AdaPtive tHreshOlding for NoIse Cancellation) for smart mobile environments. Using this mask, we introduce two noise cancellation techniques that perform robustly in the presence of real-world interfering signals that are typically encountered by mobile users: a violin busker, a subway and busy city square sounds. We demonstrate that when the power of the time-frequency components of the voice of a mobile user does not significantly overlap with the components of the interference signal, the threshold learning and noise cancellation techniques significantly improve the Signal-to-Interference Ratio (SIR) …
Objective Assessment Of Perceptual Audio Quality Using Visqolaudio, Colm Sloan, Damien Kelly, Naomi Harte, Anil C. Kokaram, Andrew Hines
Objective Assessment Of Perceptual Audio Quality Using Visqolaudio, Colm Sloan, Damien Kelly, Naomi Harte, Anil C. Kokaram, Andrew Hines
Conference papers
Digital audio broadcasting services transmit substantial amounts of data that is encoded to minimize bandwidth whilst maximizing user quality of experience. Many large service providers continually alter codecs to improve the encoding process. Performing subjective tests to validate each codec alteration would be impractical, necessitating the use of objective perceptual audio quality models. This paper evaluates the quality scores from ViSQOLAudio, an objective perceptual audio quality model, against the quality scores of PEAQ, POLQA, and PEMO-Q on three datasets containing fullband audio encoded with a variety of codecs and bitrates. The results show that ViSQOLAudio was more accurate than all …