Segmenting audio signals into auditory events
A technology of auditory events and audio signals, which is applied in speech analysis, image communication, speech recognition, etc., can solve the problems of audio signal analysis and representation, cognition independent and completely different perception, etc., and achieve high computational efficiency and computational efficiency Effect
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[0033] According to an embodiment of an aspect of the present invention, the auditory scene analysis consists of such as Figure 5 The three general processing steps shown in part . The first step 5-1 ("Perform Spectral Analysis") takes the time-domain audio signal, divides the time-domain audio signal into groups, and calculates the spectral profile or spectral content of each group. Spectral analysis transforms an audio signal into the short-term frequency domain. This can be done with arbitrary filter banks, based on transforms or multiple banks of bandpass filters, and in linear frequency space or in a warped frequency space (e.g. Bark scale or critical bands closer to the characteristics of the human ear) . For any filter bank, there is a tradeoff between time and frequency. Higher time resolution and thus shorter time intervals result in lower frequency resolution. The higher the frequency resolution, the narrower the sub-bands, resulting in longer time intervals.
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