REPOGEO REPORT · LITE

Tomiinek/Multilingual_Text_to_Speech

Default branch master · commit 2c751853 · scanned 6/3/2026, 5:46:48 PM

GitHub: 844 stars · 157 forks

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 Tomiinek/Multilingual_Text_to_Speech, 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 opening to clarify research implementation focus

Why:

CURRENT

This repository provides synthesized samples, training and evaluation data, source code, and parameters for the paper **One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech**. It contains an implementation of **Tacotron 2** that supports **multilingual experiments** and that implements different approaches to **encoder parameter sharing**.

COPY-PASTE FIX

This repository provides the official open-source implementation of **Tacotron 2** for **multilingual experiments** described in the paper **One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech**. It includes source code, training data, and parameters for exploring encoder parameter sharing, code-switching, and voice cloning techniques.

highhomepage#2
Add homepage URL to repository metadata
Why:
COPY-PASTE FIX
```
https://tomiinek.github.io/multilingual_speech_samples/
```

mediumtopics#3

Add research-specific topics

Why:

CURRENT

code-switching, multilingual, speech-synthesis, text-to-speech, tts, voice-cloning

COPY-PASTE FIX

code-switching, multilingual, speech-synthesis, text-to-speech, tts, voice-cloning, tacotron2, meta-learning, deep-learning-research, nlp-research, parameter-sharing

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 Tomiinek/Multilingual_Text_to_Speech

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Text-to-Speech

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Text-to-Speech · recommended 2×
ElevenLabs · recommended 2×
Amazon Polly · recommended 1×
Microsoft Azure Cognitive Services Speech · recommended 1×
IBM Watson Text to Speech · recommended 1×

CATEGORY QUERY
How can I generate speech output that seamlessly switches between multiple languages?
you: not recommended
AI recommended (in order):
1. Google Cloud Text-to-Speech
2. Amazon Polly
3. Microsoft Azure Cognitive Services Speech
4. ElevenLabs
5. IBM Watson Text to Speech
6. DeepMotion
AI recommended 6 alternatives but never named Tomiinek/Multilingual_Text_to_Speech. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What solutions exist for creating synthetic voices that speak multiple languages and clone voices?
you: not recommended
AI recommended (in order):
1. ElevenLabs
2. Descript
3. Resemble AI
4. Google Cloud Text-to-Speech
5. Azure AI Speech
6. PlayHT
7. WellSaid Labs
AI recommended 7 alternatives but never named Tomiinek/Multilingual_Text_to_Speech. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 Tomiinek/Multilingual_Text_to_Speech?
pass
AI did not name Tomiinek/Multilingual_Text_to_Speech — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Tomiinek/Multilingual_Text_to_Speech in production, what risks or prerequisites should they evaluate first?
pass
AI named Tomiinek/Multilingual_Text_to_Speech 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 Tomiinek/Multilingual_Text_to_Speech solve, and who is the primary audience?
pass
AI did not name Tomiinek/Multilingual_Text_to_Speech — likely talking about a different project
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 Tomiinek/Multilingual_Text_to_Speech. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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

HTML

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

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Tomiinek/Multilingual_Text_to_Speech — 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