REPOGEO REPORT · LITE

ictnlp/StreamSpeech

Default branch main · commit 220273fd · scanned 5/16/2026, 2:22:59 PM

GitHub: 1,269 stars · 103 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface ictnlp/StreamSpeech, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README's opening to clarify it's an open-source model/framework for researchers/developers.

Why:

CURRENT

The current README starts with academic links and author list, delaying the core positioning.

COPY-PASTE FIX

Add this text immediately after the main `# StreamSpeech` title, before any links or author information: "StreamSpeech is an open-source, 'All in One' seamless model and research framework for offline and simultaneous speech recognition, speech translation, and speech synthesis. It provides the code and models from our ACL 2024 paper, empowering researchers and developers to build advanced S2ST systems."

mediumreadme#2

Add a 'Why StreamSpeech?' or 'Comparison' section to the README.

Why:

COPY-PASTE FIX

Add a new section to your README, for example: "## Why StreamSpeech? Unlike commercial cloud APIs, StreamSpeech offers a fully open-source, customizable model and framework for simultaneous speech-to-speech translation, giving researchers and developers complete control and flexibility for their projects."

lowfaq#3

Add a 'Frequently Asked Questions' (FAQ) section to the README.

Why:

COPY-PASTE FIX

Add a new section to your README, for example: "## FAQ 
- **Is StreamSpeech a cloud API?** No, StreamSpeech is an open-source model and framework that you can deploy and customize yourself. 
- **Can I use StreamSpeech for production?** StreamSpeech provides a strong research foundation; production readiness depends on your specific deployment and optimization efforts."

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface ictnlp/StreamSpeech

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Translation API

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Translation API · recommended 2×
Azure AI Speech · recommended 2×
DeepL API · recommended 2×
Amazon Transcribe · recommended 1×
Amazon Translate · recommended 1×

CATEGORY QUERY
What tools offer seamless simultaneous speech recognition, translation, and synthesis in one model?
you: not recommended
AI recommended (in order):
1. Google Cloud Translation API
2. Azure AI Speech
3. Amazon Transcribe
4. Amazon Translate
5. Amazon Polly
6. Meta AI's SeamlessM4T
7. OpenAI Whisper
8. Google Cloud Translation
9. Azure Translator
10. DeepL API
11. Google Cloud Text-to-Speech
12. Azure AI Speech
13. ElevenLabs
14. Hugging Face Transformers
AI recommended 14 alternatives but never named ictnlp/StreamSpeech. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a real-time speech processing solution for low-latency simultaneous translation and ASR.
you: not recommended
AI recommended (in order):
1. Google Cloud Speech-to-Text API
2. Google Cloud Translation API
3. AWS Transcribe
4. AWS Translate
5. Microsoft Azure Cognitive Services
6. DeepL API
7. AssemblyAI
8. OpenAI Whisper (API)
9. Mozilla DeepSpeech
10. OpenNMT
11. Fairseq
AI recommended 11 alternatives but never named ictnlp/StreamSpeech. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of ictnlp/StreamSpeech?
pass
AI named ictnlp/StreamSpeech explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ictnlp/StreamSpeech in production, what risks or prerequisites should they evaluate first?
pass
AI named ictnlp/StreamSpeech explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo ictnlp/StreamSpeech solve, and who is the primary audience?
pass
AI named ictnlp/StreamSpeech explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of ictnlp/StreamSpeech. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/ictnlp/StreamSpeech.svg)](https://repogeo.com/en/r/ictnlp/StreamSpeech)

HTML

<a href="https://repogeo.com/en/r/ictnlp/StreamSpeech"><img src="https://repogeo.com/badge/ictnlp/StreamSpeech.svg" alt="RepoGEO" /></a>

Pro

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ictnlp/StreamSpeech — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite