nikvaessen Goto Github PK

Here is a sample of my open-source contributions:

• Huggingface Transformers: huggingface/transformers#14525
• PyTorch-Lightning: Lightning-AI/pytorch-lightning#11993
• Jitsi Meet: jitsi/jitsi-meet#3213 jitsi/jigasi#55

Furthermore, I wrote the following repositories during my Google Summer of Code project and my bachelor thesis:

• https://github.com/jitsi/jiwer
• https://github.com/jitsi/jitsi-webrtc-vad-wrapper

Lastly, all my academic work with source code:

• Vaessen, N., & van Leeuwen, D. A. (2023, August). Towards multi-task learning of speech and speaker recognition. In Interspeech 2023. [PDF] [Code]
• Vaessen, N., & Van Leeuwen, D. A. (2022, May). Fine-tuning wav2vec2 for speaker recognition. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7967-7971). IEEE. [PDF] [Code].
• Vaessen, N., & van Leeuwen, D. A. (2022). Training speaker recognition systems with limited data. In Interspeech 2022. [PDF] [Code]
• Vaessen, N., Mastnak, P., & Budaraju, S. D. (2019). [Re] Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization. [PDF] [Code]