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Paul Primus

21 papers hereh-index 9216 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author10
  • middle author10
  • last author1

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • eess.AS15
  • cs.SD4
  • cs.AI1
  • cs.LG1
same name
  • Paul Primus — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedOn Data Augmentation and Adversarial Risk: An Empirical Analysis

7 citations · 15 across the 19 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

Personalized Automatic Speech Recognition for a Dysarthric and Tracheostomic Speaker using Artificial Conversations

David Nadrchal, Monorama Swain, Florian Schmid +2

This work presents an automatic speech recognition (ASR) system personalized for a Czech speaker with a permanent tracheal stoma and severe dysarthria rendering their speech uninte…

cs.SD2026

On Temporal Binding in Large Audio Language Models

Paul Primus, Gerhard Widmer

Reasoning about temporal structure of audio recordings requires Large Audio Language Models (LALMs) to associate sound events with their temporal position. Understanding the underl…

eess.AS2026

RealDESED: A Real-World Domestic Sound Event Detection Benchmark

Florian Schmid, Paul Primus, Alexander Fichtinger +3

This paper presents RealDESED, a real-world domestic sound event detection (SED) benchmark comprising 5,710 audio recordings collected by 652 participants in their homes. Each reco…

cs.SD2026

Low-Latency Neural Models for Real-Time Music Enhancement

Emmanouil Karystinaios, Jonathan Greif, David Nadrchal +2

Music recordings and live streams are often affected by noise, reverberation, spectral imbalances, or artifacts that degrade listening quality. While speech enhancement has matured…

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