Audio coding using variable-depth multistage quantization

The identification in real-time streaming data using plain template-matching algorithms is difficult due to the undefined frame position in the on-line data compared to the frame-based features' position of the templates. We have investigated the use of the short-time Fourier-spectrum, the short-time Walsh-rpectrum and the short-time signal energy and the ratio of tbe succeeding features from the frame-shift point of view. The last two features aim to improve calculation s p e d in larger set of records. For further simplifying opcrrtions in the comparison stage, a quantization step was applied to the spectrum values which resulted in temary-bgic time-frequency maps. This is also useful for eliminating the effects of non-extraordinary spectral-shape dltortions by utilizing the prominent parts of the spectrum. An rlgorithm was developed for selecting the most suitabk segment combination of the sound records to be monitored where tbe differences between a11 segment pairs are the l a m The method was applied to identify advertisements am t&e RealAudio broadcast of the Hungarian Radio.Znder terms-d t i m e detection, feature selection, sound stream m o~i t o r i 4

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Short-term sound stream characterization for reliable, real-time occurrence monitoring of given sound-prints

Richly¹,

Varga²,

Kovács³

et al.

2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countri

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Audio coding using variable-depth multistage quantization

Cited by 1 publication

References 13 publications

Short-term sound stream characterization for reliable, real-time occurrence monitoring of given sound-prints

Short-term sound stream characterization for reliable, real-time occurrence monitoring of given sound-prints

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