Search Results for author: Tal Peer

Found 10 papers, 0 papers with code

Live Iterative Ptychography with projection-based algorithms

no code implementations14 Sep 2023 Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann

In this work, we demonstrate that the ptychographic phase problem can be solved in a live fashion during scanning, while data is still being collected.

Retrieval

A Flexible Online Framework for Projection-Based STFT Phase Retrieval

no code implementations13 Sep 2023 Tal Peer, Simon Welker, Johannes Kolhoff, Timo Gerkmann

Several recent contributions in the field of iterative STFT phase retrieval have demonstrated that the performance of the classical Griffin-Lim method can be considerably improved upon.

Retrieval

On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings

no code implementations5 Jun 2023 Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Tal Peer, Timo Gerkmann

Since its inception, the field of deep speech enhancement has been dominated by predictive (discriminative) approaches, such as spectral mapping or masking.

Denoising Speech Enhancement

Speech Signal Improvement Using Causal Generative Diffusion Models

no code implementations15 Mar 2023 Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann

In this paper, we present a causal speech signal improvement system that is designed to handle different types of distortions.

DiffPhase: Generative Diffusion-based STFT Phase Retrieval

no code implementations8 Nov 2022 Tal Peer, Simon Welker, Timo Gerkmann

Diffusion probabilistic models have been recently used in a variety of tasks, including speech enhancement and synthesis.

Imputation Retrieval +1

Beyond Griffin-Lim: Improved Iterative Phase Retrieval for Speech

no code implementations11 May 2022 Tal Peer, Simon Welker, Timo Gerkmann

Phase retrieval is a problem encountered not only in speech and audio processing, but in many other fields such as optics.

Retrieval

Phase-Aware Deep Speech Enhancement: It's All About The Frame Length

no code implementations30 Mar 2022 Tal Peer, Timo Gerkmann

Algorithmic latency in speech processing is dominated by the frame length used for Fourier analysis, which in turn limits the achievable performance of magnitude-centric approaches.

Speech Enhancement

Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement

no code implementations4 Mar 2022 Huajian Fang, Tal Peer, Stefan Wermter, Timo Gerkmann

Speech enhancement in the time-frequency domain is often performed by estimating a multiplicative mask to extract clean speech.

Speech Enhancement

Deep Iterative Phase Retrieval for Ptychography

no code implementations17 Feb 2022 Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann

One of the most prominent challenges in the field of diffractive imaging is the phase retrieval (PR) problem: In order to reconstruct an object from its diffraction pattern, the inverse Fourier transform must be computed.

Retrieval

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