Sound morphing strategies based on alterations of time-frequency representations by Gabor multipliers

Abstract : Sounds morphing is an important topic in signal processing of musical sounds and covers a wide variety of techniques whose aim is to "interpolate" between two sound signals. We present here an approach based on the alteration of time-frequency representation. Time-frequency analysis is a classical tool in sounds analysis/synthesis. A time-frequency filter can be well-defined as a diagonal signal operator in a Gabor representation of sounds. Processing can be performed by multiplying a time-frequency representation with such a time-frequency filter, called a Gabor mask. After estimating such a Gabor mask between two sounds, we explore strategies to parametrize it for static morphing between two sounds. We then compare such an approach with standard and non standard approaches of morphing as different kind of sounds combination, notably classical means in the time-frequency domain.
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Anaïk Olivero, Bruno Torrésani, Philippe Depalle, Richard Kronland-Martinet. Sound morphing strategies based on alterations of time-frequency representations by Gabor multipliers. AES 45th International Conference on Applications of Time-Frequency Processing in Audio, Mar 2012, Helsinki, Finland. pp.17. ⟨hal-00682959⟩

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