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ga642381 / Spoken-Dialogue-Model-Survey

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A survey of spoken dialogue models (SDMs) with speech input and speech output. Focus on their Intermediate Representation and Generation Pattern

19
0
100% credibility
Found Mar 26, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A comprehensive survey compiling research on spoken dialogue models that process speech input and generate speech output, featuring timelines, concept explanations, and a detailed comparison table with links to papers.

How It Works

1
🔍 Discover the Survey

You search online for the latest on AI models that chat using speech and find this helpful collection.

2
📖 Read the Introduction

You open the page and see a colorful timeline showing how these speech-talking models have evolved over time.

3
💡 Learn Key Ideas

You discover simple explanations of how these models plan their thoughts and turn them into spoken words.

4
📊 Browse the Models List

You check out the big table comparing dozens of models, their features, and when they came out.

5
🔗 Explore Links

You click on paper links or the interactive website to dive deeper into your favorites.

🎉 Master the Field

Now you have a clear map of all the exciting speech dialogue models and can follow the latest research.

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Star Growth

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AI-Generated Review

What is Spoken-Dialogue-Model-Survey?

This GitHub survey tool compiles a detailed overview of spoken dialogue models handling speech input and speech output, focusing on intermediate representation, generation patterns like sequential, parallel, and interleaved, and speech token types. It solves the chaos of tracking rapid advances in end-to-end voice AI by offering a timeline, model table with arXiv links, and breakdowns of features like reasoning or tool integration in text IR. Developers get a quick-reference survey GitHub 2024-2025 resource, plus an interactive website for deeper dives—no code, just curated Markdown intel.

Why is it gaining traction?

It stands out as a focused github survey app on spoken dialogue models, distilling complex trends like acoustic vs. phonetic tokens and full-duplex patterns into scannable tables and diagrams, unlike scattered arXiv papers. The hook for devs is its forward-looking coverage up to 2026 models (e.g., TiCo with time tokens), helping evaluate generation input/output trade-offs without hunting survey question language spoken at home equivalents in fragmented repos. Low barrier: stars at 19, but precise categorization beats generic github survey js or form tools.

Who should use this?

Speech AI researchers benchmarking models for dialogue systems. Voice app devs prototyping full-duplex agents with text-guided speech generation. NLP engineers surveying github survey programming languages integrations for multimodal bots.

Verdict

Handy reference for the niche, but 1.0% credibility score reflects low stars (19) and README-only maturity—pair it with linked papers for production decisions. Worth starring if you're in spoken dialogue model dev.

(178 words)

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