RRepoGEO

REPOGEO REPORT · LITE

jik876/hifi-gan

Default branch master · commit 4769534d · scanned 6/27/2026, 10:07:34 AM

GitHub: 2,352 stars · 555 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)

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

AI VISIBILITY SCORE
66 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 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 jik876/hifi-gan, 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 it's a research implementation/library

    Why:

    CURRENT
    In our paper, we proposed HiFi-GAN: a GAN-based model capable of generating high fidelity speech efficiently. We provide our implementation and pretrained models as open source in this repository.
    COPY-PASTE FIX
    This repository provides the official open-source PyTorch implementation and pretrained models for HiFi-GAN, a GAN-based model proposed in our paper for efficient and high-fidelity speech synthesis. It is designed for researchers and developers working on speech generation.
  • mediumtopics#2
    Add topics to clarify the repo's nature as a library/tool

    Why:

    CURRENT
    deep-learning, gan, hifi-gan, pytorch, speech-synthesis, text-to-speech, tts, vocoder
    COPY-PASTE FIX
    deep-learning, gan, hifi-gan, pytorch, speech-synthesis, text-to-speech, tts, vocoder, speech-generation-library, audio-synthesis-tool, research-code
  • lowreadme#3
    Add a "Comparison to Alternatives" section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

HiFi-GAN's core differentiator is its ability to generate high-fidelity audio waveforms from acoustic features (like mel-spectrograms) at significantly faster-than-real-time speeds. Compared to common alternatives at the time (e.g., WaveNet, WaveGlow, Parallel WaveGAN), it offers superior efficiency without compromising sample quality.

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 jik876/hifi-gan
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 1×
  2. AWS Polly · recommended 1×
  3. Microsoft Azure Cognitive Services Speech · recommended 1×
  4. ElevenLabs · recommended 1×
  5. Bark · recommended 1×
  • CATEGORY QUERY
    How to generate high-fidelity speech from text efficiently using deep learning?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Text-to-Speech
    2. AWS Polly
    3. Microsoft Azure Cognitive Services Speech
    4. ElevenLabs
    5. Bark
    6. Meta Voicebox
    7. Tortoise-TTS

    AI recommended 7 alternatives but never named jik876/hifi-gan. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best GAN-based models for real-time, high-quality speech generation?
    you: #2
    AI recommended (in order):
    1. Parallel WaveGAN
    2. Hifi-GAN ← you
    3. StyleGAN-VC
    4. MelGAN
    5. BigVGAN
    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 jik876/hifi-gan?
    pass
    AI named jik876/hifi-gan explicitly

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

  • If a team adopts jik876/hifi-gan in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jik876/hifi-gan 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 jik876/hifi-gan solve, and who is the primary audience?
    pass
    AI named jik876/hifi-gan 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 jik876/hifi-gan. 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/jik876/hifi-gan.svg)](https://repogeo.com/en/r/jik876/hifi-gan)
HTML
<a href="https://repogeo.com/en/r/jik876/hifi-gan"><img src="https://repogeo.com/badge/jik876/hifi-gan.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

jik876/hifi-gan — 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