3 papers
eess.AS2025
Pruning as Regularization: Sensitivity-Aware One-Shot Pruning in ASR
Julian Irigoyen, Arthur Söhler, Andreas Søeborg Kirkedal
We challenge the conventional view of neural network pruning as solely a compression technique, demonstrating that one-shot magnitude pruning serves as a powerful implicit regulari…
eess.AS2025
Quantizing Whisper-small: How design choices affect ASR performance
Arthur Söhler, Julian Irigoyen, Andreas Søeborg Kirkedal
Large speech recognition models like Whisper-small achieve high accuracy but are difficult to deploy on edge devices due to their high computational demand. To this end, we present…
cs.CL2020
FT Speech: Danish Parliament Speech Corpus
Andreas Kirkedal, Marija Stepanović, Barbara Plank
This paper introduces FT Speech, a new speech corpus created from the recorded meetings of the Danish Parliament, otherwise known as the Folketing (FT). The corpus contains over 1,…