Papers with multi-lingual semantic tokens

1 papers
Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer (2024.acl-long)

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Challenge: Experimental results indicate that GPST significantly outperforms the existing speech language models in terms of word error rate, speech quality, and speaker similarity.
Approach: They propose a hierarchical transformer that quantizes audio waveforms into two distinct types of discrete speech representations and integrates them within a transformer architecture.
Outcome: The proposed model outperforms existing speech language models in word error rate, speech quality, and speaker similarity.

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