Nianlong Gu

Machine Learning Specialist at NCCR Evolving Language, Linguistic Research Infrastructure, UZH

[Nianlong Gu @GuNianlong]

What is the point of letting reviewers make this certification by filling in their name? With this ambiguous description, I saw some reviewers' real names appear on the review result. This certainly further harms the already-poor blindness of the review.@ReviewAcl @openreviewnet

[Bradley Love @ProfData]

"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and https://t.co/YOhCmQlJsu. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. https://t.co/krtvdDqj5Q 1/6

[Nianlong Gu @GuNianlong]

diverse applications in wildlife research, environmental monitoring, and more.

Github: https://t.co/2p8g2SisTB
Preprint: https://t.co/mAhEpIeeg9

#SpeechProcessing #SignalProcessing #AIResearch #VoiceActivityDetection #WhisperSeg

[Nianlong Gu @GuNianlong]

🎉 Exciting News! #ICASSP2024 Our paper, "Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection" (WhisperSeg),has been accepted to the 2024 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP)!

[Nianlong Gu @GuNianlong]

What sets our model apart is its capability to handle various voice activity durations and a broad spectrum of frequency ranges, all within a universal model.

This advancement opens up new possibilities in the field of speech and signal processing, offering a robust tool for

[Bradley Love @ProfData]

There are 11 questions, which should take 15-20 minutes. At the end, you get to see how you did, and will have the option of being publicly acknowledged and entering a raffle for a BrainGPT t-shirt. Be a part of the future of neuroscience and help out! https://t.co/863gHyKNMf 2/2

[Bradley Love @ProfData]

How predictable is neuroscience? Can LLMs outperform humans? Please participate in the https://t.co/YOhCmQlJsu survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? https://t.co/863gHyKNMf 1/2

[Vanessa Wilson @V_DubleU]

We have a new preprint out, which addressess the origins of language through a comparative assessment of event role apprehension, using eye tracking to dynamic event scenes. This is the culmination of four years of work and a big team effort! https://t.co/TDatYkyKT4

[Nianlong Gu @GuNianlong]

Happy to share our work at NCCR on applying the Whisper for animal vocal segmentation and human voice activity detection:
Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection @biorxivpreprint @NCCR_Language https://t.co/hKsjqGLrbm