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Andrew Chang

@candrew123.bsky.social
278 followers 98 following 39 posts

Job: researcher at Google; Training: auditory cognitive neuroscience. 🇹🇼🇨🇦🇺🇸

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Andrew Chang @candrew123.bsky.social · 03/11/2025
Some personal news: I'm excited to announce I'm joining #Google as a Senior Quant UXR! Deeply thankful for my time in academia and for every person in my network who has helped and blessed me along the way. I'm grateful incredibly excited for this new opportunity at Google.
media.tenor.com
a google logo with a white background and a rainbow of colors
ALT: a google logo with a white background and a rainbow of colors
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Andrew Chang @candrew123.bsky.social · 02/06/2025
Huge thanks to co-authors @yikeli.bsky.social, Iran R. Roman, @davidpoeppel.bsky.social, and to the Interspeech reviewers for the perfect 4/4 score! 🙌 Can’t wait to present and discuss how this bridges machine and human perception! See you in Rotterdam!
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Andrew Chang @candrew123.bsky.social · 02/06/2025
💥 Key Impact 3: This paves the way for advances in #CognitiveComputing and audio-related brain–computer (#BCI) applications (e.g., sound/speech reconstruction).
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Andrew Chang @candrew123.bsky.social · 02/06/2025
💥 Key Impact 2: STM features link directly to brain processing, offering a more interpretable, biologically grounded representation.
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Andrew Chang @candrew123.bsky.social · 02/06/2025
💥 Key Impact 1: Without any pretraining, our STM-based DNN matches popular spectrogram-based models on speech, music, and environmental sound classification.
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Andrew Chang @candrew123.bsky.social · 02/06/2025
While spectrogram-based audio DNNs excel, they’re often bulky, compute-heavy, hard to interpret, and data-hungry. We explored an alternative: training a DNN on spectrotemporal modulation (#STM) features—an approach inspired by how the human auditory cortex processes sound.
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Andrew Chang @candrew123.bsky.social · 02/06/2025
I’m excited to share one of two papers accepted to #Interspeech2025! @interspeech.bsky.social “Spectrotemporal Modulation: Efficient & Interpretable Feature Representation for Classifying Speech, Music & Environmental Sounds” 📄 Paper: arxiv.org/abs/2505.23509 #NeuroInspiredML #AudioAI
arxiv.org
Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds
Audio DNNs have demonstrated impressive performance on various machine listening tasks; however, most of their representations are computationally costly and uninterpretable, leaving room for optimiza...
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Reposted by Andrew Chang
David Poeppel @davidpoeppel.bsky.social · 31/05/2025
Our Interspeech2025 contrib (for geeks) arxiv.org/pdf/2505.23509 Audio DNNs: impressive performance on machine listening tasks. But most representations are computationally costly & uninterpretable. Let's try something different:
arxiv.org
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Andrew Chang @candrew123.bsky.social · 24/04/2025
neuroscience x urban design? fascinating www.nature.com/articles/s41...
nature.com
What cities can learn from the brain - Nature Human Behaviour
Given its ability to manage a multitude of functions in support of survival, the dynamics and organization of the brain offer the city — another confluence of structures and processes — lessons for ur...
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Reposted by Andrew Chang
Haley Kragness @haleykrag.bsky.social · 14/03/2025
why DO babies dance? when do they start dancing? what counts as dancing, anyway (and how can we measure it)? out online today in CDPS, @lkcirelli.bsky.social and i attempt to integrate what is known about the development of dance journals.sagepub.com/doi/epub/10.... (2/4)
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David Poeppel @davidpoeppel.bsky.social · 13/03/2025
www.youtube.com/watch?v=n5nE... Important and painful
youtube.com
How Germany's elite research institution fails young scientists | DW Documentary
YouTube video by DW Documentary
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Hsing-Hao Lee @hsinghaolee.bsky.social · 10/03/2025
Our new preprint is now on bioRxiv! 'Visual adaptation stronger at horizontal than vertical meridian: Linking performance with V1 cortical surface area' www.biorxiv.org/content/10.1...
biorxiv.org
Visual adaptation stronger at horizontal than vertical meridian: Linking performance with V1 cortical surface area
Visual adaptation, a mechanism that conserves bioenergetic resources by reducing energy expenditure on repetitive stimuli, leads to decreased sensitivity for similar features (e.g., orientation and sp...
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Andrew Chang @candrew123.bsky.social · 12/03/2025
I have emailed @interspeech.bsky.social, but it would be great if you could also reach out to them at pco@interspeech2025.org if this concerns you as well, so they understand that this will affect many people. I’m sure none of us want to be stuck writing a rebuttal in a hotel at #ICASSP!
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Andrew Chang @candrew123.bsky.social · 12/03/2025
@interspeech.bsky.social just changed its rebuttal period to April 4-11, which overlaps with #ICASSP. Given the overlap in research communities, I believe many researchers who submitted to #Interspeech2025 will also be attending #ICASSP2025. Could it be at least a week later?
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Andrew Chang @candrew123.bsky.social · 10/03/2025
What's next? We are currently working on (1) refining our ML model by combining active learning and semi-supervised learning approaches and (2) experimenting with new human-computer interaction designs to mitigate negative experiences during videoconferencing. 7/end
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Andrew Chang @candrew123.bsky.social · 10/03/2025
Beyond improving technical aspects like signal quality and latency of a videoconferencing system, social dynamics can deeply affect user experience. Our research paves the way for future enhancements by predicting and preventing conversational derailments in real time. 6/n
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Andrew Chang @candrew123.bsky.social · 10/03/2025
One surprising insight: awkward silences—those long gaps in turn-taking—were more detrimental to conversational fluidity and enjoyment than chaotic overlaps or interruptions. 5/n
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Andrew Chang @candrew123.bsky.social · 10/03/2025
We used multimodal ML on 100+ person-hours of videoconferences, modeling voice, facial expressions, and body movements. Key result: ROC-AUC 0.87 in predicting unfluid and unenjoyable moments and classifying various disruptive events, such as gaps and interruptions. 4/n
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Andrew Chang @candrew123.bsky.social · 10/03/2025
Videoconferencing has become essential in our professional and personal lives, especially post-pandemic. Yet, we've all experienced the “derailed” moments, such as awkward pauses and uncoordinated turn-taking, and that can make virtual meetings less effective and enjoyable. 3/n
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Andrew Chang @candrew123.bsky.social · 10/03/2025
See my thread below, and also this press release: www.nyu.edu/about/news-p... 2/n
nyu.edu
Can AI Tell Us if Those Zoom Calls Are Flowing Smoothly? New Study Gives a Thumbs Up
Researchers find machine learning can predict how we rate social interactions in videoconference conversations
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Andrew Chang @candrew123.bsky.social · 10/03/2025
Excited to share that our paper, "Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment," has been accepted for an **oral presentation** at #ICASSP! ieeexplore.ieee.org/document/108... @dustinfreeman.bsky.social @davidpoeppel.bsky.social 1/n
ieeexplore.ieee.org
Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment
Videoconferencing is now a frequent mode of communication in both professional and informal settings, yet it often lacks the fluidity and enjoyment of in-person conversation. This study leverages mult...
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Andrew Chang @candrew123.bsky.social · 21/02/2025
There is an excellent cross-cultural study on this topic by @norijacoby.bsky.social. A lay summary of the paper can be found here: www.aesthetics.mpg.de/en/research/...
aesthetics.mpg.de
Perception of pitch is culturally influenced
Study on cross-cultural music perception published in Current Biology
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Andrew Chang @candrew123.bsky.social · 21/02/2025
Thanks for your comment. Yes there are several recent studies suggesting that chroma is not really an innate or universal property of pitch perception. Our study cannot answer this question, but we indeed found that the effect of chroma is much weaker than height.
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Andrew Chang @candrew123.bsky.social · 19/02/2025
In short: By combining machine learning and MEG, we show how the brain’s dynamic pitch representation echoes ideas proposed over 100 years ago. Feels like completing a full circle in music cognitive neuroscience! Huge thanks to my collaborators! End/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
The helix model reflects the idea that pitches separated by an octave (e.g., the repeating piano keys) are perceived as inherently similar. This concept was first explored in the early 1900s by Géza Révész, laying the groundwork for modern music cognition! 🧠🎹 6/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
The brain doesn’t process pitch in an unstructured way. Typically, it represents pitches in a mostly linear structure—think piano keyboard layout. BUT—just 0.3 seconds after hearing a sound, something wild happens: the brain briefly represents pitch in a helix-like structure! 5/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
This animation shows the reconstruction of how the brain dynamically represents musical pitches. The pitches that are closer in space are perceived as more similar at a given moment. 4/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
We used machine learning to decode how the brain represents musical pitches during an #MEG scan. Our model reconstructed how the brain represents the similarity between different pitches and how this representation changes over time. 3/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
Why does pitch matter? It’s essential not just for music, but for speech perception & sound segregation too! Understanding how our brain dynamically encodes pitch is a major research in auditory cognitive neuroscience. 2/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
Excited to kick off 2025 with new research in #MachineLearning, #Decoding, #MusicNeuroscience! Our paper, “Temporally Dissociable Neural Representations of Pitch Height and Chroma”, now in @sfnjournals.bsky.social doi.org/10.1523/JNEU... @davidpoeppel.bsky.social, @xiangbin-teng.bsky.social! 🧠🎵 1/n
doi.org
Temporally Dissociable Neural Representations of Pitch Height and Chroma
The extraction and analysis of pitch underpin speech and music recognition, sound segregation, and other auditory tasks. Perceptually, pitch can be represented as a helix composed of two factors: heig...
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Andrew Chang @candrew123.bsky.social · 19/02/2025
In short: By combining machine learning and MEG, we show how the brain’s dynamic pitch representation echoes ideas proposed over 100 years ago. Feels like completing a full circle in music cognitive neuroscience! Huge thanks to my collaborators! End/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
The helix model reflects the idea that pitches separated by an octave (e.g., the repeating piano keys) are perceived as inherently similar. This concept was first explored in the early 1900s by Géza Révész, laying the groundwork for modern music cognition! 🧠🎹 6/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
The brain doesn’t process pitch in an unstructured way. Typically, it represents pitches in a mostly linear structure—think piano keyboard layout. BUT—just 0.3 seconds after hearing a sound, something wild happens: the brain briefly represents pitch in a helix-like structure! 5/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
This animation shows the reconstruction of how the brain dynamically represents musical pitches. The pitches that are closer in space are perceived as more similar at a given moment. 4/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
We used machine learning to decode how the brain represents musical pitches during an #MEG scan. Our model reconstructed how the brain represents the similarity between different pitches and how this representation changes over time. 3/n
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Andrew Chang @candrew123.bsky.social · 19/02/2025
Why does pitch matter? It’s essential not just for music, but for speech perception & sound segregation too! Understanding how our brain dynamically encodes pitch is a major research in auditory cognitive neuroscience. 2/n
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Andrew Chang @candrew123.bsky.social · 29/01/2025
Try OneTab if you have not. It can… store more tabs 😁 www.one-tab.com
one-tab.com
OneTab extension for Google Chrome and Firefox - save up to 95% memory and reduce tab clutter
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Andrew Chang @candrew123.bsky.social · 28/01/2025
I missed the perfect chance to name my new paper ‘Giant Steps.’ I won't be able to rest in peace. @davidpoeppel.bsky.social @xiangbin-teng.bsky.social
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Reposted by Andrew Chang
David Poeppel @davidpoeppel.bsky.social · 08/01/2025
I'm very happy that this paper by Francecso Mantegna (now Oxford) and Joan Orpella (now Georgetown) is published. Congrats for some heroic data wrangling! www.sciencedirect.com/science/arti... Unusual experiment (mental imagery of speech planning+MEG) shows cool perspective on speech production
sciencedirect.com
Time-resolved hemispheric lateralization of audiomotor functional connectivity during covert speech production
Covert speech involves the internal generation of articulatory movements and their sensory consequences. While overt speech involves a combination of …
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Reposted by Andrew Chang
David Poeppel @davidpoeppel.bsky.social · 01/01/2025
Start 2025 with some music neuroscience reading? Temporally dissociable neural representations of pitch height and chroma osf.io/preprints/ps... @candrew123 & me & @TengXB
osf.io
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Andrew Chang @candrew123.bsky.social · 11/12/2024
Excited to share my first #Python package, audioset-strong-download, now on #PyPI! It streamlines downloading Google’s #AudioSet for #audio #ML & #AI research. Check it out and let me know your thoughts! github.com/curlsloth/au...
github.com
GitHub - curlsloth/audioset-strong-download: This package aims at simplifying the download of the strong version of AudioSet dataset.
This package aims at simplifying the download of the strong version of AudioSet dataset. - curlsloth/audioset-strong-download
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Andrew Chang @candrew123.bsky.social · 02/12/2024
Link to the Academic Minute: academicminute.org/2024/10/andr...
academicminute.org
Andrew Chang, New York University - Is It a Sound of Music…or of Speech? - The Academic Minute
On New York University Week: What is music and what is speech? Andrew Chang, Leon Levy postdoctoral fellow, asks our brains to listen in. Andrew Chang is postdoctoral fellow at New York University, su...
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Andrew Chang @candrew123.bsky.social · 02/12/2024
I’m incredibly grateful for these opportunities to share my research on using computational and ML approaches to understand #music, #speech, and human communication. Moments like these remind me how rewarding this journey has been and how much support and mentorship I’ve received.
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Andrew Chang @candrew123.bsky.social · 02/12/2024
This season of gratitude, I’m especially thankful to be featured as one of four NYU researchers on The Academic Minute and highlighted in the Postdoc Spotlight by the New York University Office of Postdoctoral Affairs weekly newsletter.
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Seung-Goo Kim, Ph.D. @seunggookim.bsky.social · 16/11/2024
Migrating from Twitter using github.com/marcomaroni-... Let's see how nicely it works.😀
github.com
GitHub - marcomaroni-github/twitter-to-bluesky: Import all tweets exported from X/Twitter to a Bluesky account.
Import all tweets exported from X/Twitter to a Bluesky account. - marcomaroni-github/twitter-to-bluesky
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Grace Lindsay @neurograce.bsky.social · 20/10/2023
The Center for Data Science at NYU is looking for faculty fellows! These are two year independent research positions with a teaching component. Applications from any CDS relevant research topic are welcome! For full consideration submit by Nov 28. Come be my colleague! #neurojobs #MLsky #compneuro
apply.interfolio.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
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Andrew Chang @candrew123.bsky.social · 21/10/2023
Hello, blue sky!
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