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What is Cross-Lingual ASR System for Galician about?

This document presents the design and evaluation of a cross-lingual machine learning-based automatic speech recognition (ASR) system fine-tuned for the Galician language using the wav2vec2 framework. The system achieved a word error rate (WER) of 18.61% when evaluated on a spontaneous speech dataset from the Galicia Parliament, demonstrating its effectiveness despite limited training data. Future work will focus on increasing the training corpus size and addressing challenges in transcribing both Galician a

Author

Lawal Olanrewaju

Language

EN