Summary of Seamlessexpressivelm: Speech Language Model For Expressive Speech-to-speech Translation with Chain-of-thought, by Hongyu Gong et al.
SeamlessExpressiveLM: Speech Language Model for Expressive Speech-to-Speech Translation with Chain-of-Thought
by Hongyu Gong, Bandhav Veluri
First submitted to arxiv on: 30 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a single speech language model called SeamlessExpressiveLM for expressive speech-to-speech translation (S2ST). The goal is to preserve semantics and speaker vocal style in translated speech. This is achieved by decomposing the complex source-to-target speech mapping into intermediate generation steps using chain-of-thought prompting. The model first translates target semantic content and then transfers the speaker style to multi-stream acoustic units. Evaluation on Spanish-to-English and Hungarian-to-English translations shows that SeamlessExpressiveLM outperforms cascaded LMs in both semantic quality and style transfer, while also being more parameter-efficient. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about a new way to translate speech from one language to another while keeping the same tone and emotions. It’s like when you hear someone speaking in their own accent and it sounds natural. The researchers created a special model that can do this by breaking down the translation process into smaller steps. They tested their model on translations between Spanish, English, and Hungarian, and it did better than other models at keeping the same tone and emotions. |
Keywords
» Artificial intelligence » Language model » Parameter efficient » Prompting » Semantics » Style transfer » Translation
