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Christoph Bensch Master Thesis by abdelkbir is a document available to read on EtoBox.
What is Christoph Bensch Master Thesis about?
This thesis explores methods to improve automatic speech recognition of new and rare words through continuous learning. It evaluates using an acoustic model with sub-word units and n-gram language models on full words and sub-words. The results show sub-word representations significantly improve performance over baselines, especially for unseen words, by allowing them to be composed of familiar parts. N-gram language models further reduce word error rate when combined with the acoustic models.
- Author
- abdelkbir
- Language
- EN