Summary of Advancing Speech Language Models by Scaling Supervised Fine-tuning with Over 60,000 Hours Of Synthetic Speech Dialogue Data, By Shuaijiang Zhao et al.
Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data
by Shuaijiang Zhao, Tingwei Guo, Bajian Xiang, Tongtang Wan, Qiang Niu, Wei Zou, Xiangang Li
First submitted to arxiv on: 2 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
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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 GPT-4o model enables real-time interaction with large language models through speech, showcasing low latency and high fluency. This breakthrough has significant implications for applications requiring rapid feedback, such as user experience enhancement. The paper highlights the scarcity of research on real-time large speech language models, particularly for Chinese. To address this gap, the authors present KE-Omni, a seamless large speech language model built upon Ke-SpeechChat, a dataset comprising 7 million conversations, featuring 42,002 speakers, and totaling over 60,000 hours. This contribution advances research and development in this field. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about creating a new way to talk to computers using spoken language. It’s like having a conversation with a friend! The researchers made a special kind of computer program that can understand what we say quickly and accurately. This is important because it can help people communicate more easily, especially in situations where they need quick answers or responses. One problem is that there isn’t much research on how to make this work for Chinese language. To solve this, the researchers created a new tool called KE-Omni that can understand spoken Chinese and respond quickly. This will help with many applications like customer service, voice assistants, and more. |
Keywords
» Artificial intelligence » Gpt » Language model
