USMAN AMINU GARBA

[Novaex_AI @Novaex_AI]

🔔 Novaex AI | Why are more and more people beginning to rethink NEX?

Most tokens derive their value from market trading

But in the AI ​​era, more and more people are starting to wonder:

If a token can participate in the ecosystem's operation will its value logic change?

✅ Novaex AI is exploring the integration of AI and the crypto ecosystem

📈 In the future, in addition to its circulation attributes NEX will gradually integrate into AI ecosystem applications and staking scenarios
#Web3 #Blockchain #Crypto #DeFi #AI #CryptoNews #BlockchainTechnology #Web3Community #AsiaCrypto #Novaexai

[USMAN AMINU GARBA @Useeygoga]

@cPenCoreTeam Good 😊

[D҉O҉R҉O҉ @Sulyman006]

Most standard datasets use "perfect" academic speech. But humans don't talk like robots. @_dialectra uses regional dialects, specific idioms, and local accents (like different variations of Hausa, Fulfulde, or Kanuri).

[Muh-khad @Muh_khad]

https://t.co/cAaDeDNhH0

[Bakaka @Abba_kakaa]

We launched "Dialect Connect" yesterday and in just 24hrs, the stats is really impressive.

I was thinking few days ago a simple idea: what if we could capture how people actually speak, not just how they read?

I then implements yesterday as a additional feature for https://t.co/eCLj0KInG2

24 hours later:

📞 371 conversation requests
✅ 303 completed conversations
🎙️ 45.1 hours of conversational speech collected
⏳ 5 pending
🟢 2 active
❌ 61 rejected

For years, most speech datasets have been built around scripted recordings. They are useful, but they only tell part of the story.

Language lives in conversations.

It lives in pauses, interruptions, storytelling, laughter, code-switching, local expressions, and the unique rhythm that makes every dialect different.

The future of voice AI will not be built solely on people reading sentences from a screen. It will be built on authentic human interactions.

That is what excites me most about these numbers.

In just 24 hours, hundreds of people chose to connect with complete strangers or friends and simply talk. In doing so, they generated something incredibly valuable: real-world conversational data for African languages and dialects.

Every completed conversation moves us closer to a future where AI can understand not only what Africans say, but how we say it.

When we started Dialectra, our mission wasn't just to collect voice data. It was to ensure that African languages, dialects, and identities are represented in the AI systems that will power the next generation of technology.

45.1 hours is a small number compared to where we're going.

But it's a reminder that the infrastructure for African voice AI won't be built in a lab alone. It will be built by communities, contributors, and everyday conversations happening across the continent.

We're still very early.

[USMAN AMINU GARBA @Useeygoga]

@Abba_kakaa Allah ya maimaita mana
Allah yasa munyi a Sa'a Amin🤲

[USMAN AMINU GARBA @Useeygoga]

@cPenCoreTeam Who wins

[USMAN AMINU GARBA @Useeygoga]

@Abba_kakaa @Sulyman006 🚀🌝🥰

[Bakaka @Abba_kakaa]

New feature is live on https://t.co/czWIKAxbEY.

Invite your partner, pick a topic or random and EARN..

Still day one.....

[Dialectra @_dialectra]

Dialect Connect is now LIVE

You can now:
🤝 Find an online partner
📩 Send an invite to a friend
🎙️ Join live voice conversations
💰 Earn rewards for every completed session

Choose a topic or simply have a random conversation. Every discussion helps create high-quality conversational datasets for the next generation of African voice AI.

We're excited to see what the community creates.

Try it now: https://t.co/4389JazlEJ

[USMAN AMINU GARBA @Useeygoga]

@Officialspeedaf I didn't understand this thing my order lost and you didn't do anything about it?
I want my order please 🙏

[Bakaka @Abba_kakaa]

Our first features that's script reading and transcription helped us collect speech. Now "Dialect Connect" helps us capture how people actually talk.

That's where the magic happens.

[Dialectra @_dialectra]

Coming Soon: "Dialect Connect"

One of the most exciting features we've build so far at Dialectra.

Two verified contributors. One topic. A live conversation.

Not scripts.
Not prompts.

Real conversations. Real dialects. Real speech patterns.

We're moving beyond read speech and transcription into authentic voice interactions the kind of data needed to build the next generation of dialect-aware AI systems.

A big step toward our vision of building the infrastructure layer for African voice AI.

Stay tuned. More updates soon.

[USMAN AMINU GARBA @Useeygoga]

@AliExpress_EN My order was unsuccessful since almost 2 months i try to email you but no respond can you help me and check please 🙏 thank you @AliExpress_EN

[Dialectra @_dialectra]

Claim your Bitcoin Pizza Day slice of DX points at https://t.co/EptrS75BAQ

[Dialectra @_dialectra]

From 10,000 BTC for two pizzas 🍕 to a global financial movement ₿

Today we celebrate the transaction that proved Bitcoin could power real-world value exchange and sparked a revolution in digital finance.

Happy Bitcoin Pizza Day from Dialectra 💙

Building infrastructure for the future of finance.

#BitcoinPizzaDay

[USMAN AMINU GARBA @Useeygoga]

@Officialspeedaf My order was unsuccessful since last 2 months please can you help me check where is the problem come from thank you 🙏 @Officialspeedaf

[USMAN AMINU GARBA @Useeygoga]

@Abba_kakaa @_dialectra @iDICEStartup Masha Allah dialectra fam more wins ahead in sha Allah.....keep it up 🔥🚀

[Bakaka @Abba_kakaa]

Big milestone for @_dialectra

We’ve officially been accepted into the @iDICEStartup Startup Bridge Founders Lab as one of 185 founders selected from thousands of applications across Nigeria.

This comes at a time where we’re rapidly building Dialectra into the infrastructure layer for dialect-aware African speech AI:
• 180K+ voice datasets
• 1K+ contributors
• benchmarking systems
• dialect verification workflows
• transcription + corpus pipelines

Over the next 12 weeks, we’ll be working closely with mentors, operators, and founders to sharpen execution, validation, and scale.

Still day one, but we’re excited for what’s ahead.

Building for the future of African voice AI .

[Rukayya @Ruqhayyerh]

Most AI systems have never truly heard Africa.

Here’s why that matters
AI systems learn from data.

@_dialectra

For speech AI, that means thousands (sometimes millions) of voice recordings, accents, pronunciations, and dialect patterns.

The better the data, the better the system understands people.

The problem?

A huge percentage of today’s speech datasets are dominated by a few major accents and languages.

Many African dialects are barely represented.

So when someone with a local accent uses:

- speech-to-text
- voice assistants
- AI customer support
- translation tools

…the system often struggles.

Not because the speaker is “wrong.”

Because the AI was never trained properly on that speech pattern.

This creates a bigger issue than people realize.

As voice becomes a major interface for technology, poor language representation can become a barrier to accessibility and inclusion.

That’s why dialect-aware infrastructure matters.

AI systems should not only understand a few global accents while ignoring millions of others.

Representation matters at the data layer too.

Projects like @_dialectra are focused on building structured speech and dialect infrastructure centered around African voices.

The goal is simple:

Help create AI systems that better understand how Africans actually speak.

The future of AI should not exclude people because of their accent or dialect.

Better representation leads to better systems.

And better systems start with better data.
#AI #infrastructure #dialect