Name: Shammur Absar
Type: User
Company: QCRI
Bio: Interested in analyzing and understanding human conversation. Main focus: speech overlaps, turn-takings, speech discourse, code-switching, explainability.
Blog: http://shammur.one/
Shammur Absar 's Projects
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Voice Activity Detector in Python
🔊 A comprehensive list of open-source datasets for voice and sound computing (50+ datasets).
♂️♀️ Detect a person's gender from a voice file. Achieves 90.7% +/- 1.3% accuracy.
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
Official repository of the xLSTM.
1st place solution to Kaggle's 2018 YouTube-8M Video Understanding Challenge