REPOGEO REPORT · LITE

TencentGameMate/chinese_speech_pretrain

Default branch master · commit 063695d8 · scanned 5/21/2026, 9:48:13 PM

GitHub: 1,204 stars · 88 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

23 /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

2 / 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 TencentGameMate/chinese_speech_pretrain, 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 for discoverability

Why:

COPY-PASTE FIX

["speech-recognition", "chinese-speech", "pretrained-models", "wav2vec2", "hubert", "self-supervised-learning", "asr", "mandarin-speech"]

highlicense#2

Add a LICENSE file to clarify usage terms

Why:

COPY-PASTE FIX

Create a LICENSE file in the repository root with a standard open-source license (e.g., Apache-2.0, MIT) to clearly define usage rights.

mediumreadme#3

Enhance README introduction for clearer positioning

Why:

CURRENT

# chinese_speech_pretrain

### 简介
我们使用 WenetSpeech [1] train_l 集的 1 万小时中文数据作为无监督预训练数据.

COPY-PASTE FIX

# chinese_speech_pretrain

**TencentGameMate/chinese_speech_pretrain provides state-of-the-art self-supervised pre-trained models (wav2vec 2.0 and HuBERT) specifically for Chinese speech processing, trained on 10,000 hours of WenetSpeech data.** These models are designed to accelerate research and development in Chinese Automatic Speech Recognition (ASR) and other downstream speech tasks.

### 简介
我们使用 WenetSpeech [1] train_l 集的 1 万小时中文数据作为无监督预训练数据.

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 TencentGameMate/chinese_speech_pretrain

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Transformers

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Transformers · recommended 1×
ModelScope · recommended 1×
PaddlePaddle/PaddleSpeech · recommended 1×
openai/whisper · recommended 1×
espnet/espnet · recommended 1×

CATEGORY QUERY
Where can I find large-scale pre-trained models for Chinese speech processing tasks?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers
2. ModelScope
3. PaddleSpeech (PaddlePaddle/PaddleSpeech)
4. OpenAI Whisper GitHub Repository (openai/whisper)
5. ESPnet (espnet/espnet)
6. Google Cloud Speech-to-Text / Text-to-Speech APIs
7. Microsoft Azure Cognitive Services Speech
AI recommended 7 alternatives but never named TencentGameMate/chinese_speech_pretrain. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking robust self-supervised speech models trained on extensive Mandarin audio data.
you: not recommended
AI recommended (in order):
1. WavLM
2. HuBERT
3. XLS-R
4. MMS
5. Whisper
6. UniSpeech
AI recommended 6 alternatives but never named TencentGameMate/chinese_speech_pretrain. 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 TencentGameMate/chinese_speech_pretrain?
pass
AI named TencentGameMate/chinese_speech_pretrain explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts TencentGameMate/chinese_speech_pretrain in production, what risks or prerequisites should they evaluate first?
pass
AI named TencentGameMate/chinese_speech_pretrain 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 TencentGameMate/chinese_speech_pretrain solve, and who is the primary audience?
pass
AI did not name TencentGameMate/chinese_speech_pretrain — 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 TencentGameMate/chinese_speech_pretrain. 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/TencentGameMate/chinese_speech_pretrain.svg)](https://repogeo.com/en/r/TencentGameMate/chinese_speech_pretrain)

HTML

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

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TencentGameMate/chinese_speech_pretrain — 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