Day 2 of our Kiswahili ASR challenge stream focused on Conformer + CTC-based models and wow, the progress we made was huge!
✅ What we did:
💡 But here’s the best part one of the stream viewers, @Joseph_gitau, coded live along with the stream and even beat my score! That moment really highlighted the value of urgency and real-time collaboration.
If you're thinking of getting involved, join the streams live! The learning, engagement, and results hit differently when you're there in real time. That said, the YouTube replays are still there for anyone catching up:
📹 Replay: Zindi ML Live: Kiswahili ASR - From CTC Theory to Real Improvements (Part 2)
📺 Channel: https://www.youtube.com/@koleshjr
📆 Next Streams: https://www.twitch.tv/koleshjr/schedule
Let’s keep pushing forward, see you in the next one!
Nice tutorial! From the company repo, they present the baseline values.
https://github.com/Sartify/Swahili-Challenge-Competition---Pan-African-Wide-Alignment-PAWA-ASR
Wow 0.13? That is very impressive and we are currently very far from that baseline but we will try our best to beat it! But I assume that is after you used the pawa llm for corrections? what was the low WER from the STT itself?
This is 0.13 without Pawa.
greatttt