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Sascha Disch

4 accepted papers

2017

Coding of fine granular audio signals using High Resolution Envelope Processing (HREP)

ICASSP 2017accepted

High Resolution Envelope Processing (HREP) is a new tool for improved perceptual coding of audio signals that predominantly consist of many dense transient events, such as applause, rain drop sounds, etc. These signals have traditionally been very difficult to code for perceptual audio codecs, parti…

Cited by 0SourceScholar
2016

Harmonic-percussive-residual sound separation using the structure tensor on spectrograms

ICASSP 2016accepted

Harmonic-percussive-residual (HPR) sound separation is a useful preprocessing tool for applications such as pitched instrument transcription or rhythm extraction. Recent methods rely on the observation that in a spectrogram representation, harmonic sounds lead to horizontal structures and percussive…

Cited by 0SourceScholar
2015

Spectral envelope reconstruction via IGF for audio transform coding

ICASSP 2015accepted

In low-bitrate audio coding, modern coders often rely on efficient parametric techniques to enhance the performance of the waveform preserving transform coder core. While the latter features well-known perceptually adapted quantization of spectral coefficients, parametric techniques reconstruct the…

Cited by 0SourceScholar
2015

Temporal Tile Shaping for spectral gap filling in audio transform coding in EVS

ICASSP 2015accepted

At low bitrates, next generation audio coders apply waveform preserving transform coding only for the perceptually most relevant parts of the signal. The resulting spectral gaps are filled in the decoder through techniques like Intelligent Gap Filling (IGF). IGF is currently being standardized in MP…

Cited by 0SourceScholar