Abstract:Previous studies have revealed that by mimicking the neural activity patterns of the auditory periphery to obtain perceptual features of speech signals, the resultant auditory representation is beneficial to speech-coding and pattern-analysis applications in comparison with spectrogram and spikegram representations. However, current solutions use outdated techniques such as the Bark scale and gammatone basis to decompose speech signals. We propose a method of using more physiological accurate techniques such a… Show more
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