Segmenting audio signals into auditory events
A technology for auditory events and audio signals, which is applied in speech analysis, image communication, speech recognition, etc. to achieve high computational efficiency and high computational efficiency.
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[0036] 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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