Forwarded from Mahi's Diary
For all my Muslim families here and my friends too
እንኳን ለ1501ኛው የነብዩ ሙሐመድ(ሰ.ዐ.ወ) የመውሊድ በዓል በሰላም አደረሳችሁ 🌙
መልካም በዓል ለሁላችሁም ❤️
Mawlid Mubarak ☪
@my_dev_diary
እንኳን ለ1501ኛው የነብዩ ሙሐመድ(ሰ.ዐ.ወ) የመውሊድ በዓል በሰላም አደረሳችሁ 🌙
መልካም በዓል ለሁላችሁም ❤️
Mawlid Mubarak ☪
@my_dev_diary
Forwarded from Software Guy
Episode 5 is finally here! 🎙️🔥
This time, I sat down with Mohammed Ibrahim a.k.a Doughnut.
We talked about ExamBuddy, building AI products from Ethiopia, remote opportunities and the future of software development.
this one is packed with knowledge, honest conversations and plenty of laughs 😂
#SoftwareGuyPodcast #EthiopianTech #AI #Programming
https://youtu.be/tm3y6rnYyWY
This time, I sat down with Mohammed Ibrahim a.k.a Doughnut.
We talked about ExamBuddy, building AI products from Ethiopia, remote opportunities and the future of software development.
this one is packed with knowledge, honest conversations and plenty of laughs 😂
#SoftwareGuyPodcast #EthiopianTech #AI #Programming
https://youtu.be/tm3y6rnYyWY
Sometimes you just say, “ለበጎ ነው” and move on to the next chapter of your life. When you become አመስጋኝ, you save your energy and become able to use it for something good.
#Day53 @mindful_bytes
#Day53 @mindful_bytes
❤2
Forwarded from Chapi Dev Talks
We're releasing the first batch of Dataset.ET open speech data for Amharic.
22.7 hours. 7,405 recordings. 320 speakers. Free, CC BY 4.0, on Hugging Face.
Amharic has close to no open speech data. That's the gap we're trying to close, and this is the first step rather than the finished thing.
Some honesty about what this is: it's a first batch. The audio isn't preprocessed yet. We're not going to tell you it's the best quality out there. We don't think it is. What we want is for people to actually use it and tell us where it falls short.
The next release will be different: properly preprocessed audio, a real data pipeline with testing and validation built in. This exists because 320 people in Ethiopia gave their voices to it, and because contributors reviewed each other's recordings. Thank you to all of them.
If you're working on Ethiopian languages, low-resource ASR, or you just want to talk about the data, DM us. We'd genuinely like to hear from you.
🔗 https://huggingface.co/datasets/snapwre/amharic-speech
22.7 hours. 7,405 recordings. 320 speakers. Free, CC BY 4.0, on Hugging Face.
Amharic has close to no open speech data. That's the gap we're trying to close, and this is the first step rather than the finished thing.
Some honesty about what this is: it's a first batch. The audio isn't preprocessed yet. We're not going to tell you it's the best quality out there. We don't think it is. What we want is for people to actually use it and tell us where it falls short.
The next release will be different: properly preprocessed audio, a real data pipeline with testing and validation built in. This exists because 320 people in Ethiopia gave their voices to it, and because contributors reviewed each other's recordings. Thank you to all of them.
If you're working on Ethiopian languages, low-resource ASR, or you just want to talk about the data, DM us. We'd genuinely like to hear from you.
🔗 https://huggingface.co/datasets/snapwre/amharic-speech
huggingface.co
snapwre/amharic-speech · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Forwarded from Dagmawi Babi
The curse of discipline is that every day looks the same, the curse of indiscipline is that every year looks the same.
❤2