collaborators

6 papers

eess.AS2026

Audio Inpainting in Time-Frequency Domain with Phase-Aware Prior

Peter Balušík, Peter Balušík, Pavel Rajmic

We address the problem of time-frequency audio inpainting, where the goal is to fill missing spectrogram portions with consistent information. Despite recent advances, existing app…

eess.AS2026

Audio dequantization using instantaneous frequency

Vojtěch Kovanda, Pavel Rajmic

We present a dequantization method that employs a phase-aware regularizer, originally successfully applied in an audio inpainting problem. The method promotes a temporal continuity…

eess.AS2025

A MATLAB toolbox for Computation of Speech Transmission Index (STI)

Pavel Rajmic, Jiří Schimmel, Šimon Cieslar

The speech transmission index (STI) is a popular simple metric for the prediction of speech intelligibility when speech is passed through a transmission channel. Computation of STI…

eess.AS2025

Janssen 2.0: Audio Inpainting in the Time-frequency Domain

Ondřej Mokrý, Peter Balušík, Pavel Rajmic

The paper focuses on inpainting missing parts of an audio signal spectrogram, i.e., estimating the lacking time-frequency coefficients. The autoregression-based Janssen algorithm,…

eess.AS2025

Tweaking autoregressive methods for inpainting of gaps in audio signals

Ondřej Mokrý, Pavel Rajmic

A novel variant of the Janssen method for audio inpainting is presented and compared to other popular audio inpainting methods based on autoregressive (AR) modeling. Both conceptua…

eess.SP2025

Dequantization of a signal from two parallel quantized observations

Vojtěch Kovanda, Pavel Rajmic

We propose a technique of signal acquisition using a combination of two devices with different sampling rates and quantization accuracies. Subsequent processing involving sparsity…