Summary of Humane Speech Synthesis Through Zero-shot Emotion and Disfluency Generation, by Rohan Chaudhury et al.
Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation
by Rohan Chaudhury, Mihir Godbole, Aakash Garg, Jinsil Hwaryoung Seo
First submitted to arxiv on: 31 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
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 proposes an innovative speech synthesis pipeline to humanize machine communication, enabling AI systems to comprehend and resonate with users. The approach combines a cutting-edge language model that introduces human-like emotion and disfluencies in a zero-shot setting, and a rule-based text-to-speech phase. The generated elements are designed to mimic human speech patterns, promoting more intuitive and natural user interactions. The novel system produces synthesized speech that’s almost indistinguishable from genuine human communication, making each interaction feel more personal and authentic. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine if AI systems could talk like humans do – with emotions, pauses, and even mistakes! That would make conversations much more natural and relatable. This paper tries to solve this problem by creating a new way for computers to generate speech that sounds like it’s coming from a real person. They use special language models and rules to make the computer-generated speech sound more human-like. The result is synthesized speech that feels almost as natural as talking to another person, making interactions feel more personal and authentic. |
Keywords
» Artificial intelligence » Language model » Zero shot
