In this paper a new perspective on modeling of transient phenomena in the context of sinusoidal audio modeling and coding is presented. In our approach the task of finding time-varying amplitudes for sinusoidal models is viewed as an AM demodulation problem. A general perfect reconstruction framework for amplitude modulated sinusoids is introduced and model reductions lead to a model for audio compression. Demodulation methods are considered for estimation of the time-varying amplitudes, and inherent constraints and limitations are discussed. Finally, some applications are considered and discussed and the concepts are demonstrated to improve sinusoidal modeling of audio and speech.
CITATION STYLE
Christensen, M. G., Andersen, S. V., & Jensen, S. H. (2003). Amplitude modulated sinusoidal models for audio modeling and coding. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2773 PART 1, pp. 1334–1342). Springer Verlag. https://doi.org/10.1007/978-3-540-45224-9_180
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