Enhancing Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance
We improve Frisian ASR performance by using multilingual fine-tuning and language identification, highlighting the challenges in dialectal speech recognition and the importance of elicitation methods in evaluating real-world performance.
Mar 7, 2025
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance
We improve ASR for Frisian and its dialects through multilingual fine-tuning and auxiliary language identification, while highlighting the challenges of dialectal speech recognition.
Feb 7, 2025
Fine-Tuning Strategies for Dutch Dysarthric Speech Recognition: Evaluating the Impact of Healthy, Disease-Specific, and Speaker-Specific Data
We compare three fine-tuning strategies for Dutch dysarthric speech recognition, finding that combining healthy and dysarthric speech, as well as speaker-specific approaches, yield the best results.
Sep 1, 2024
Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations
A study on improving automatic speech recognition for Luxembourgish through cross-lingual speech representations and transfer learning.
Jan 1, 2023
Deep CNN-based Inductive Transfer Learning for Sarcasm Detection in Speech
A novel approach to detect sarcasm in speech using deep convolutional neural networks and transfer learning techniques.
Sep 18, 2022