Partial Spectral Flatness Measure for tonality estimation in a filterbank-based psychoacoustic model for percep tual audio coding
Taghipour A, Jaikumar MC, Edler B, Stahl H (2013)
Publication Type: Conference contribution
Publication year: 2013
Conference Proceedings Title: 134th Audio Engineering Society
URI: http://www.aes.org/e-lib/browse.cfm?elib=16725
Abstract
Perceptual audio codecs use psychoacoustic models for irrelevancy reduction by exploiting masking effects in the human auditory system. In masking, the tonality of the masker plays an important role and therefore should be evaluated in the psychoacoustic model. In this study a partial Spectral Flatness Measure (SFM) is applied to a filter bank-based psychoacoustic model to estimate tonality. The Infinite Impulse Response (IIR) band-pass filters are designed to take into account the spreading in simultaneous masking. Tonality estimation is adapted to temporal and spectral resolution of the auditory system. Employing subjective audio coding preference tests, the Partial SFM is compared with prediction-based tonality estimation.
Authors with CRIS profile
Armin Taghipour
Lehrstuhl für Audiosignalanalyse (AudioLabs) (Stiftungslehrstuhl)
Bernd Edler
Lehrstuhl für Audiosignalanalyse (AudioLabs) (Stiftungslehrstuhl)
Involved external institutions
Germany (DE)How to cite
APA:
Taghipour, A., Jaikumar, M.C., Edler, B., & Stahl, H. (2013). Partial Spectral Flatness Measure for tonality estimation in a filterbank-based psychoacoustic model for percep tual audio coding. In 134th Audio Engineering Society.
MLA:
Taghipour, Armin, et al. "Partial Spectral Flatness Measure for tonality estimation in a filterbank-based psychoacoustic model for percep tual audio coding." Proceedings of the 134th Audio Engineering Society 2013.
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