Pitch Accent Detection improves Pretrained Automatic Speech Recognition

• URL: http://arxiv.org/abs/2508.04814v1
• Date: Wed, 06 Aug 2025 18:52:05 GMT
• Title: Pitch Accent Detection improves Pretrained Automatic Speech Recognition
• Authors: David Sasu, Natalie Schluter,
• Abstract summary: The pitch accent detection component of our model achieves a significant improvement on the state-of-the-art for the task.<n>We show the importance of extending pretrained speech models to retain or re-learn important prosodic cues such as pitch accent.
• Score: 2.5322020135765464
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We show the performance of Automatic Speech Recognition (ASR) systems that use semi-supervised speech representations can be boosted by a complimentary pitch accent detection module, by introducing a joint ASR and pitch accent detection model. The pitch accent detection component of our model achieves a significant improvement on the state-of-the-art for the task, closing the gap in F1-score by 41%. Additionally, the ASR performance in joint training decreases WER by 28.3% on LibriSpeech, under limited resource fine-tuning. With these results, we show the importance of extending pretrained speech models to retain or re-learn important prosodic cues such as pitch accent.

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