6 citations · 12 across the 5 of their papers we have counts for
5 papers
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…
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…
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition
Kenneth Enevoldsen, Emil Trenckner Jessen, Rebekah Baglini
Named entity recognition is one of the cornerstones of Danish NLP, essential for language technology applications within both industry and research. However, Danish NER is inhibite…
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,…
The Danish Gigaword Project
Leon Strømberg-Derczynski, Manuel R. Ciosici, Rebekah Baglini +12
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a f…