ASRLUX: AUTOMATIC SPEECH RECOGNITION FOR THE LOW-RESOURCE LANGUAGE LUXEMBOURGISH

peer reviewed ; We have developed an automatic speech recognition (ASR) system tailored to Luxembourgish, a low-resource language that poses distinct challenges for conventional ASR approaches due to the limited availability of training data and inherent multilingual nature. By employing transfer learning, we meticulously fine-tuned an array of models derived from pre-trained wav2vec 2.0 and Whisper checkpoints. These models have been trained on an extensive corpus of various languages and several hundred thousand hours of audio data, utilizing unsupervised and weak supervised methodologies, r... Mehr ...