Peter Plantinga @ComPeterScience
I am an author of @SpeechBrain1. I love cats and justice and games and stuff. massey-plantinga.com Joined November 2015-
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🚀 We're excited to announce our latest work: "Discrete Audio Tokens: More Than a Survey!" It presents a comprehensive survey and benchmark of audio tokenizers across speech, music, and general audio. preprint: arxiv.org/pdf/2506.10274 website: poonehmousavi.github.io/dates-website/
New Substack out about #wicked with #disability and #bodyqueer themes open.substack.com/pub/peterplant…
Proud of this work published a few days ago at SLT 2024 on continual learning for end to end ASR. Turns out changing the CL paradigm to parallel training on different tasks and merging these experts can reduce the forgetting rate to as low as 0.4%! poonehmousavi.github.io/assets/publica…
🌟To all #MachineLearning researchers: Join us in #Istanbul for the 35th #IEEE MLSP 2025 📅 Aug 31–Sept 3, 2025 We’re working hard to make this a memorable event in one of the world's most beautiful cities. 2025.ieeemlsp.org/en/ #DeepLearning #AI #NeuralNetworks #Research
Join us for the Conversational AI Reading Group! 📚 We meet every Thursday, 11-12 AM EST, to discuss the latest advancements in conversational AI, multimodal models, and speech processing. Everyone is welcome! More info: poonehmousavi.github.io/rg.html & follow us on Twitter: @convAI2024
Fine-tuning #LLMs on domain-specific data doesn’t always improve performance, a challenge we call the "Adaptation Odyssey". Why does this happen? Our new #EMNLP2024 paper led by @firatoncell discusses this issue. 📄 arxiv.org/pdf/2410.05581 #AI #NLP #DeepLearning
🧠#SpeechBrain-MOABB, our #opensource #EEG benchmark, is designed to test #DeepLearning models across tasks with a robust protocol for fair comparison! 📄 Our latest #paper: sciencedirect.com/science/articl… (just accepted in Neural Networks!) 💻 Code: github.com/speechbrain/be… #AI
SpeechBrain version 1.0.2 is now out! My personal contribution is a clean adapters interface that allows custom adapters or integration with PEFT layers, your choice. You can see the tutorial here: speechbrain.readthedocs.io/en/latest/tuto…
We just released v1.0.1 of SpeechBrain with some cool updates to Whisper integration: various tasks supported, fine-tuning fixes, performance improvements, and more!
📢 I'll be presenting our paper "How Should We Extract Discrete Audio Tokens from Self-Supervised Models?" at InterSpeech! 🎙️ Meet us at the Speech Processing Using Discrete Speech Units, Oral Session on Sep 3, 16:20. 🔗 Paper: arxiv.org/abs/2406.10735 #INTERSPEECH2024
I am happy to announce that "Listenable Maps for Audio Classifiers" has been accepted at #icml2024 as an oral! Check out 👨💻 code in @SpeechBrain1 tinyurl.com/lmac-code 🖥️ website tinyurl.com/lmac2 📖 paper: tinyurl.com/lmac5 #AI #deeplearning #audio #explainableAI
We will have XAI-SA: Explainable Machine Learning for Speech and Audio, next week at ICASSP 2024. The date is April 15. You can sign-up for it here to receive more information for it: forms.gle/VPBP3Mojq3Ewqw… Workshop website for the schedule: xai-sa-workshop.github.io
We worked hard on this one!
We worked hard on this one!
Bodyqueer: a Term For All People With Non-normative Bodies open.substack.com/pub/peterplant…
For a deep, thoughtful discussion of proliferation, regulation, and why open source is the better—and safer—path to take with AI, I HIGHLY recommend this piece by @jeremyphoward. I learned much from it and encourage others to as well: fast.ai/posts/2023-11-…
For a deep, thoughtful discussion of proliferation, regulation, and why open source is the better—and safer—path to take with AI, I HIGHLY recommend this piece by @jeremyphoward. I learned much from it and encourage others to as well: fast.ai/posts/2023-11-…
Fresh paper out #EMNLP2023 LLMs excel in zero-shot text-to-SQL but still benefit greatly from in-domain demonstrations. This work is driven by two questions: (1) What are the key factors within in-domain examples? (2) Can we harness these benefits without in-domain annotations?
Fresh paper out #EMNLP2023 LLMs excel in zero-shot text-to-SQL but still benefit greatly from in-domain demonstrations. This work is driven by two questions: (1) What are the key factors within in-domain examples? (2) Can we harness these benefits without in-domain annotations? https://t.co/r3D2w23rLh
Excited to present at the SpeechBrain online summit on Monday 28th Aug I'll be joined by @shinjiw_at_cmu, @functiontelechym, Daniel Povey, and Zhaoheng Ni for a panel discussion on open-source speech It's not too late to register if you haven't already: speechbrain.github.io/sb_summit2023
Excited to share the news about a new internship opportunity at @Mila_Quebec, where you can contribute to @SpeechBrain1! We're seeking students skilled in RNN-T. If you have relevant experience, please apply at [email protected]. #ICASSP2023 #DeepLearning #AI
Just got to experience my first bona-fide email storm, and laughing at every minute of it
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