Traci Neilsen

Physics assoc prof at BYU. Research includes underwater acoustics and machine/deep learning. Opinions are my own.

[JASA @ASA_JASA]

SPECIAL ISSUE: MACHINE LEARNING IN ACOUSTICS

Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks: https://t.co/V7qYOjZY0q

Free for a limited time.

@BYU_PhysAstro
@UDengineering
@Scripps_Ocean
@dfvankomen
@tbnbyu

[Traci Neilsen @tbnbyu]

@radjanirad I saw it!

[Traci Neilsen @tbnbyu]

@josephsl7 It was great! So nice to meet in person once again.

[Traci Neilsen @tbnbyu]

#ASA181

[Traci Neilsen @tbnbyu]

@WeidnerLiz I should have acknowledged the meme was made by my students—they are the punny ones. 😉

[Traci Neilsen @tbnbyu]

Grateful for the hard work of all the @BYUAcoustics students to prepare and present at #ASA181 and thanks to @acousticsorg for providing this opportunity and @ASAStudents for helping students feel welcome

[BYU Physics and Astronomy @BYU_PhysAstro]

@BYU recently became a partner in the Apache Point Observatory in New Mexico, home of a beautiful 3.5 m telescope. Our own Prof. Denise Stephens took a group of students there last month to be trained on it. Stay tuned for exciting research to come! https://t.co/SlLgCox7QD

[ASA Standards @ASAStandards]

For #ASACOS, we're thrilled to co-sponsor this morning's session on "Wind Noise" with Gregory Lyons @ArmyERDC; W. C. Alberts @ArmyResearchLab; and Richard Raspet @OleMiss #ASA181 #NewAcoustics

[Traci Neilsen @tbnbyu]

So great to be in person at #ASA181 Happy to see (first time) a Lactation room at the request of #womeninacoustics

[JASA Express Letters @ASA_JASAEL]

"Validating deep learning seabed classification via acoustic similarity" is another one of our most-read articles this year! Read it at https://t.co/6lnzM8HrYL

@Hillsdale
@BYU_PhysAstro
@BYUAcoustics
@tbnbyu
@dfvankomen

#acoustics

[Traci Neilsen @tbnbyu]

@ASA_POMA @BYUAcoustics @PurduePhysAstro This was work from an @nsf funded REU project

[POMA @ASA_POMA]

In ocean acoustics, finding acoustic signals within long recordings is usually time consuming. In order to optimize this process, this paper explores signal classification using two deep learning models. https://t.co/pV6OcOPv8S

@tbnbyu @BYUAcoustics @PurduePhysAstro

[Traci Neilsen @tbnbyu]

The BYU student chapter of the Acoustical Society of America it’s putting on free public demonstration shops Nov 5-6. Use QR code below to sign up for the event or find link and more details at https://t.co/aCwx1CKHkg

@BYUAcoustics @BYU_PhysAstro @UniverseBYU @BYUalumni

[Traci Neilsen @tbnbyu]

A good reminder at the beginning of this busy week.

[JASA Express Letters @ASA_JASAEL]

Validating deep learning seabed classification via acoustic similarity https://t.co/6lnzM8HrYL.

@Hillsdale
@BYU_PhysAstro
@BYUAcoustics
@tbnbyu
@dfvankomen

#acoustics

[JASA @ASA_JASA]

TECHNICAL AREA PICK

From Underwater Acoustics: "Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks" https://t.co/V7qYOjZY0q

Free for a limited time.

@BYU_PhysAstro
@UDengineering
@Scripps_Ocean
@dfvankomen
@tbnbyu

[Traci Neilsen @tbnbyu]

So clever (and real)

[PHD Comics @PHDcomics]

Among Us

[BYU Physics and Astronomy @BYU_PhysAstro]

We are always proud to remember the incredible scientific contributions of Harvey Fletcher, one of the most influential scientists ever affiliated with @BYU!

[JASA Express Letters @ASA_JASAEL]

EDITOR'S PICK

This new paper describes a method for automatic wind-noise classification and reduction in spectral data without requiring measured wind speeds. https://t.co/Bj0DM8rp8k

#acoustics #noise

@BYUAcoustics @BYU_PhysAstro @KentLGee

[Traci Neilsen @tbnbyu]

Nervous but thought some might want to know. Will be sharing a bit about how sound travels in the ocean and making it an analogy for how we receive inspiration from God https://t.co/V8T5ESItK5