Summary of Ctc-gmm: Ctc Guided Modality Matching For Fast and Accurate Streaming Speech Translation, by Rui Zhao et al.
CTC-GMM: CTC guided modality matching for fast and accurate streaming speech translation
by Rui Zhao, Jinyu Li, Ruchao Fan, Matt Post
First submitted to arxiv on: 7 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Audio and Speech Processing (eess.AS)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 introduces a methodology called Connectionist Temporal Classification guided modality matching (CTC-GMM) that enhances streaming speech translation models. By leveraging machine translation text data, the approach compresses speech sequences into compact embeddings that match corresponding text sequences, allowing for refined model training. This method shows improved translation accuracy and decoding speed on FLEURS and CoVoST2 datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps machines understand spoken languages in real-time. Normally, it’s hard to find enough labeled data for this task because it takes a lot of work to write down what someone is saying. To solve this problem, the researchers created a new way to use machine translation text to improve streaming speech translation models. This method makes translations more accurate and faster on two different datasets. |
Keywords
» Artificial intelligence » Classification » Translation
