RRepoGEO

REPOGEO REPORT · LITE

MoonInTheRiver/DiffSinger

Default branch master · commit ce7789f1 · scanned 6/20/2026, 9:26:41 AM

GitHub: 4,803 stars · 817 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
69 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 1 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 MoonInTheRiver/DiffSinger, 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
    Add a clear statement in the README's opening about the project's nature as a research framework

    Why:

    CURRENT
    This repository is the official PyTorch implementation of our AAAI-2022 paper, in which we propose DiffSinger (for Singing-Voice-Synthesis) and DiffSpeech (for Text-to-Speech).
    COPY-PASTE FIX
    This repository is the official PyTorch implementation of our AAAI-2022 paper, in which we propose DiffSinger (for Singing-Voice-Synthesis) and DiffSpeech (for Text-to-Speech). It serves as a research framework and library for developers and researchers working on advanced singing and speech synthesis models.
  • mediumhomepage#2
    Add the arXiv paper link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2105.02446
  • lowreadme#3
    Add a 'Who is this for?' or 'Target Audience' section to the README

    Why:

    COPY-PASTE FIX
    ## Who is this for?
This repository is primarily intended for researchers, machine learning engineers, and developers interested in building, experimenting with, or extending state-of-the-art singing and speech synthesis models based on diffusion mechanisms. It provides the official code and resources for reproducing our AAAI-2022 paper.

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
1 / 2
50% of queries surface MoonInTheRiver/DiffSinger
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
Synthesizer V
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Synthesizer V · recommended 1×
  2. CeVIO AI · recommended 1×
  3. VOCALOID · recommended 1×
  4. Alter/Ego · recommended 1×
  5. UTAU · recommended 1×
  • CATEGORY QUERY
    How can I synthesize realistic singing voices from text or MIDI input?
    you: not recommended
    AI recommended (in order):
    1. Synthesizer V
    2. CeVIO AI
    3. VOCALOID
    4. Alter/Ego
    5. UTAU
    6. DeepMotion
    7. OpenVPI

    AI recommended 7 alternatives but never named MoonInTheRiver/DiffSinger. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a fast and high-quality singing voice generation model using diffusion?
    you: #1
    AI recommended (in order):
    1. DiffSinger ← you
    2. SingGAN
    3. Riffusion
    4. AudioLDM 2
    5. Hugging Face
    6. GitHub
    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 MoonInTheRiver/DiffSinger?
    pass
    AI named MoonInTheRiver/DiffSinger explicitly

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

  • If a team adopts MoonInTheRiver/DiffSinger in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MoonInTheRiver/DiffSinger 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 MoonInTheRiver/DiffSinger solve, and who is the primary audience?
    pass
    AI named MoonInTheRiver/DiffSinger 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 MoonInTheRiver/DiffSinger. 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/MoonInTheRiver/DiffSinger.svg)](https://repogeo.com/en/r/MoonInTheRiver/DiffSinger)
HTML
<a href="https://repogeo.com/en/r/MoonInTheRiver/DiffSinger"><img src="https://repogeo.com/badge/MoonInTheRiver/DiffSinger.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

MoonInTheRiver/DiffSinger — 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