RRepoGEO

REPOGEO REPORT · LITE

ysharma3501/MiraTTS

Default branch main · commit 6e1bd672 · scanned 6/8/2026, 2:53:01 AM

GitHub: 511 stars · 42 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 ysharma3501/MiraTTS, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    text-to-speech, tts, speech-synthesis, deep-learning, pytorch, ai, machine-learning, real-time, high-quality-audio, diffusion-model, gan, vocoder
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    (Create a LICENSE file, e.g., MIT or Apache-2.0, to clarify usage rights for your project.)
  • mediumreadme#3
    Emphasize core differentiators in README's opening sentence

    Why:

    CURRENT
    MiraTTS is a finetune of the excellent Spark-TTS model for enhanced realism and stability performing on par with closed source models.
    COPY-PASTE FIX
    MiraTTS is a high-quality, fast, and memory-efficient text-to-speech model, leveraging a non-autoregressive diffusion approach and GAN-based vocoder to achieve over 100x real-time audio generation with realism comparable to closed-source systems.

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 ysharma3501/MiraTTS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
VITS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. VITS · recommended 1×
  2. FastSpeech2 · recommended 1×
  3. Tacotron 2 · recommended 1×
  4. HiFi-GAN · recommended 1×
  5. Parallel WaveGAN · recommended 1×
  • CATEGORY QUERY
    What are the best open-source text-to-speech models for fast, high-quality audio generation?
    you: not recommended
    AI recommended (in order):
    1. VITS
    2. FastSpeech2
    3. Tacotron 2
    4. HiFi-GAN
    5. Parallel WaveGAN
    6. Coqui TTS
    7. Glow-TTS

    AI recommended 7 alternatives but never named ysharma3501/MiraTTS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a real-time speech synthesis library with low VRAM usage and realistic output.
    you: not recommended
    AI recommended (in order):
    1. Coqui TTS (coqui-ai/TTS)
    2. Mozilla TTS (mozilla/TTS)
    3. ESPnet (espnet/espnet)
    4. Tacotron 2 (NVIDIA/tacotron2)
    5. MaryTTS (marytts/marytts)
    6. eSpeak NG (espeak-ng/espeak-ng)

    AI recommended 6 alternatives but never named ysharma3501/MiraTTS. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 ysharma3501/MiraTTS?
    pass
    AI named ysharma3501/MiraTTS explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts ysharma3501/MiraTTS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ysharma3501/MiraTTS 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 ysharma3501/MiraTTS solve, and who is the primary audience?
    pass
    AI named ysharma3501/MiraTTS 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 ysharma3501/MiraTTS. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ysharma3501/MiraTTS.svg)](https://repogeo.com/en/r/ysharma3501/MiraTTS)
HTML
<a href="https://repogeo.com/en/r/ysharma3501/MiraTTS"><img src="https://repogeo.com/badge/ysharma3501/MiraTTS.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ysharma3501/MiraTTS — 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