wallet VS TTS

What really makes the Celo protocol stand out is its ability to solve two fundamental barriers to using crypto as a means of payment: ease of use and purchasing power volatility. The mobile-first Valora wallet built on Celo is a social payment application-oriented around overcoming these exact barriers through phone number verification and stable-value assets. Crypto addresses are linked to using mobile phone numbers, making crypto transactions as easy as sending a text message. The application also provides minimal volatility of assets through the use of stablecoins, countering any concerns of payment made with volatile assets. Access to other dApps in the Celo ecosystem, decentralized exchanges, lending opportunities within DeFi, and exploration of NFT collections are all available on the same platform — facilitating interoperability and enhancing user experience.

The initial training, conducted by local partner, NairoBits, provided participants with guidance on cryptocurrency and cUSD transactions, how to complete microwork tasks, and how to cash out earnings to M-Pesa. After that phase, all 200 Kenyan participants went on to complete digital microwork tasks provided by Appen via the Toca app (now Corsali). Within a few seconds of completing their tasks in Corsali, participants were paid in cUSD. After linking their Corsali account to the Valora.app, a popular cryptocurrency wallet built on Celo, participants were able to transfer their earnings into Valora for a fee of only 0.02%, regardless of transaction size.

All you have to do is download the Valora app, a Celo wallet, and fund it by buying cUSD or cEUR, which you can do from the app directly.

Valora Deeplinks for integrating with Valora

you can get 50% APY on cUSD (USD stablecoin on celo) or cEUR (EUR stablecoin on celo) using the Valora wallet on the Celo blockchain. Can learn more on the blog

Gift them Celo using Valora. You can send them money even if they don’t have a wallet yet by sending it to their phone number.

Download a mobile-first wallet or Celo wallet and start using Celo ecosystem. Metamask is appropriate for DeFi dapps.

I just noticed that https://coqui.ai/ is "Shutting down".

I'm building a web app (React / Django) which takes a list of affirmations & goals (in Markdown files), puts them into a database (SQlite), and uses voice synthesis to create voice audio files of the phrases. These are combined with a relaxed backing track (ffmpeg), made into playlists of 10-20 phrases (randomly sampled, or according to a theme: "mind" "body" "soul") and then play automatically in the morning & evening (cron). This allows you to persistently hear & vocalize your own goals & good vibes over time.

I had been planning to use Coqui TTS as the local text-to-speech engine, but with this cancellation, I'd love to hear from the community what is a great open-source, local text-to-speech engine?

Generally, I learn both the highest quality commercially available technology (example: ElevenLabs), and also the best open-source equivalent. Would love to hear suggestions & perspectives on this. What voice synth tools are you investing your time into learning & building with?

lol this marketing technique is getting very old. https://github.com/coqui-ai/TTS is already amazing and open source.

Not sure how relevant this is but note that Coqui TTS (the realistic TTS) has already shut down

https://coqui.ai

I've used coqui.ai's TTS models[0] and library[1] to great success. I was able to get cloned voice to be rendered in about 80% of the audio clip length, and I believe you can also stream the response. Do note the model license for XTTS, it is one they wrote themselves that has some restrictions.

[0] https://huggingface.co/coqui/XTTS-v2

[1] https://github.com/coqui-ai/TTS

My only exposure to Coqui was their text to speech software. If I remember correctly the website was a commercialized service with TTS and probably some other related things. I hope the software work continues in the open.

https://github.com/coqui-ai/TTS

Coqui.ai TTS (https://github.com/coqui-ai/TTS)

"tts_models/multilingual/multi-dataset/xtts_v2" model from https://github.com/coqui-ai/TTS. It gives pretty good results and works with references, so it's pretty easy to change the voice. By the way the source code of the project is open: https://github.com/volotat/Anagnorisis but be ready, the code is pretty raw for now.

A recent update to their GitHub also has a no-code gradio ui to facilitate fine-tuning and inferencing locally. https://github.com/coqui-ai/TTS/releases/tag/v0.21.3