PARSHL

PARSHL: An Analysis/Synthesis Program for Non-Harmonic Sounds Based on a Sinusoidal Representation. This paper describes a peak-tracking spectrum analyzer, called PARSHL, which is useful for extracting additive synthesis parameters from inharmonic sounds such as the piano. PARSHL is based on the Short-Time Fourier Transform (STFT), adding features for tracking the amplitude, frequency, and phase trajectories of spectral lines from one FFT to the next. PARSHL can be thought of as an “inharmonic phase vocoder” which uses tracking vocoder analysis channels instead of a fixed harmonic filter bank as used in previous FFT-based vocoders.


References in zbMATH (referenced in 5 articles )

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  1. Fischer, Jens V.: On the duality of regular and local functions (2017)
  2. Tarongi, Jose Miguel; Camps, Adriano: Radio frequency interference detection and mitigation algorithms based on spectrogram analysis (2011)
  3. Shirazi, Jalil; Ghaemmaghami, Shahrokh: Improvement to speech-music discrimination using sinusoidal model based features (2010) ioport
  4. Dziubinski, Marek; Dalka, Piotr; Kostek, Bozena: Estimation of musical sound separation algorithm effectiveness employing neural networks (2005) ioport
  5. Dziubinski, Marek; Dalka, Piotr; Kostek, Bozena: Estimation of musical sound separation algorithm effectiveness employing neural networks (2005) ioport