Harmonic Representation and Auditory Model-Based Parametric Matching and Its Application in Speech/Audio Analysis

Petrovsky A, Azarov E, Petrovsky A. Harmonic Representation and Auditory Model-Based Parametric Matching and Its Application in Speech/Audio Analysis. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7705. Available from: https://aes.org/publications/elibrary-page/?id=14901

@inproceedings{Petrovsky2009_14901,
  author = {Petrovsky, Alexey and Azarov, Elias and Petrovsky, Alexander},
  title = {{Harmonic Representation and Auditory Model-Based Parametric Matching and Its Application in Speech/Audio Analysis}},
  booktitle = {AES Convention 126},
  note = {Paper 7705},
  year = {2009},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14901}
}

TY  - CPAPER
TI  - Harmonic Representation and Auditory Model-Based Parametric Matching and Its Application in Speech/Audio Analysis
AU  - Petrovsky, Alexey
AU  - Azarov, Elias
AU  - Petrovsky, Alexander
T2  - AES Convention 126
M1  - Paper 7705
PY  - 2009
DA  - 2009/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14901
PB  - Audio Engineering Society
LA  - en
AB  - The paper presents new methods for the selection of sinusoids and transients components in hybrid sinusoidal modeling of speech/audio. The instantaneous harmonic parameters (magnitude, frequency and phase) are calculated as the result of the narrow band filtering of speech/audio. The frequency-modulated filters synthesis with the closed form impulse response has been proposed. The filter frequency bounds can be determined during the components frequency tracking and can be adjusted according to the fundamental frequency modulations. It can be implemented speech/audio harmonic/noise decomposition. The transient components modeling are presented by matching pursuit with frame-based psychoacoustic optimized wavelet packet dictionary. The choice of most relevant coefficients is based on maximizing the matching between the auditory excitation scalograms of original and modeled signals.
ER  -