Výsledky vyhledávání - "Aichroth, P."

Report

Environment Classification via Blind Roomprints Estimation

Autor: Baum, Malte, Cuccovillo, Luca, Yaroshchuk, Artem, Aichroth, Patrick

Publikováno v: in IEEE International Workshop on Information Forensics and Security (WIFS), December 12-16, 2022, Shanghai, China, pp.1-6

In this paper we present a novel approach for environment classification for speech recordings, which does not require the selection of decaying reverberation tails. It is based on a multi-band RT60 analysis of blind channel estimates and achieves an

Externí odkaz: http://arxiv.org/abs/2209.07196

Zobrazit plný text záznamu

Report

Open Challenges in Synthetic Speech Detection

Autor: Cuccovillo, Luca, Papastergiopoulos, Christoforos, Vafeiadis, Anastasios, Yaroshchuk, Artem, Aichroth, Patrick, Votis, Konstantinos, Tzovaras, Dimitrios

Publikováno v: in IEEE International Workshop on Information Forensics and Security (WIFS), December 12-16, 2022, Shanghai, China, pp.1-6

In this paper the current status and open challenges of synthetic speech detection are addressed. The work comprises an initial analysis of available open datasets and of existing detection methods, a description of the requirements for new research

Externí odkaz: http://arxiv.org/abs/2209.07180

Zobrazit plný text záznamu

Report

Speaker-Independent Microphone Identification in Noisy Conditions

Autor: Giganti, Antonio, Cuccovillo, Luca, Bestagini, Paolo, Aichroth, Patrick, Tubaro, Stefano

Publikováno v: in European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022, pp. 1047-1051

This work proposes a method for source device identification from speech recordings that applies neural-network-based denoising, to mitigate the impact of counter-forensics attacks using noise injection. The method is evaluated by comparing the impac

Externí odkaz: http://arxiv.org/abs/2206.11640

Zobrazit plný text záznamu

Report

Spectral Denoising for Microphone Classification

Autor: Cuccovillo, L., Giganti, A., Bestagini, P., Aichroth, P., Tubaro, S.

Publikováno v: in ACM International Workshop on Multimedia AI against Disinformation (MAD), Newark, NJ, USA, 2022, pp. 10-17

In this paper, we propose the use of denoising for microphone classification, to enable its usage for several key application domains that involve noisy conditions. We describe the proposed analysis pipeline and the baseline algorithm for microphone

Externí odkaz: http://arxiv.org/abs/2204.02841

Zobrazit plný text záznamu

Report

Text Classification Components for Detecting Descriptions and Names of CAD models

Autor: Köllmer, Thomas, Hasselbach, Jens, Aichroth, Patrick

We apply text analysis approaches for a specialized search engine for 3D CAD models and associated products. The main goals are to distinguish between actual product descriptions and other text on a website, as well as to decide whether a given text

Externí odkaz: http://arxiv.org/abs/1904.12587

Zobrazit plný text záznamu