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Lightning Talk Beginner

How I ended up maintaining a python package with 1M+ downloads

Proposal status is Rejected
Session Description

I want to talk about the inception of a FOSS Project whose purpose was just normalizing text with whisper normalizer and how it got unexpectly this much downlaods of almost like 200K per month in some nice months or around cumulatively reached 1M+ downloads.

This was originally created for Malayalam ASR Benchmarking project, but then we found issues for Malayalam in this library and based on which Kavya et al. published a paper EMNLP, 2024. How we fixed this issues.

I will also walk through for beginners how to create a python package and also share at end of talk as an inspiration on why you should also talk in conferences like this.

Key Takeaways
  • Journey of how to grow a python FOSS project by solving a problem for you

  • What is whisper_normalizer doing and how to use it?

  • Growth of FOSS project and how it is being enabled

  • How to create a new python package and inspirational stuff at the end

References

Session Categories

Story of a FOSS project - from inception to growth

Which track are you applying for?

Main track

Speakers

Kurian Benoy
Kurian Benoy ML Engineer | Sarvam

I am working as an ML Engineer building Full-Stack GenAI @ Sarvam.ai. I have multiple years of experience in Python and Machine learning experience. I have contributed to various open source organizations like Swathanthra Malayalam Computing, FOSSASIA, Keras, DVC, HuggingFace, fast.ai, CloudCV etc.