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07 May 2018
by Aaron Karp **Winner of Best Research Writing blog post**
For my thesis I am investigating sonic spaces that exist under the coverage of mass surveillance technology. My aim is to identify the properties of sounds that make them “surveillable” and to create sounds that exist outside of surveillable spheres. There has been a moderate amount of investigation into issues of mass video surveillance from a theory standpoint, but surprisingly little research has been conducted within the realm of audio surveillance. What makes sound unique in the discussion of surveillance technology? Is there something about the listening that people view as less inherently sacred and private than seeing? With what we have learned from recent government whistleblowers and the state-of-the-art technological capabilities of surveillance systems, it is clear that all citizens in Western society should operate on the assumption that they are always being listened to. Given this reality, the need for a technology that responds to such an invasion of privacy is apparent.
Surveillance technology at its core attempts to identify “important” versus “unimportant sounds” and categorize them into further degrees of utility. An example of a technology I’m referring to is speech transcription software. A speech detection system would first perform what is known as a source separation task, where it would attempt to separate out spoken words from background noise in a recording that contains both sounds on top of each other. After this point the algorithm would try to understand what words were being said and then flag words and phrases of significance. These algorithms work because of physical properties of speech (the “important” sound) in comparison to something like a washing machine whirring (the “unimportant” sound). In other words, the speech often looks different to the machine on a fundamental level. In the early days of Machine Listening these differences were explored as mathematical truths, but the properties of those maths can only extend so far. Presently most source separation algorithms are employing some level of machine learning, and the most cutting-edge research revolves around deep learning techniques using massive amounts of data.
My project attempts to understand why some sounds are easily separated and others are not. I will then be creating a system to synthesize sounds that, when played in conjunction with “important” sounds, result in sounds that don’t have the properties that would identify them as “important”. This process would convert “important” sounds to “unimportant” ones, marking them as useless and thus makes them, for all intents and purposes, undetectable.
04 May 2018
Greetings! We would like to take a moment and say thank you to everyone who submitted a blog post for our competition during GRAD Appreciation Week. We got over 15 submissions from almost every Department/ Program on campus, which is great turnout for graduate students! We hope that everyone stays tuned in the next few weeks as we publish the posts that were submitted. Tomorrow you'll get to read the first, which was awarded "Best Research" writing in the competition. Want to know who won and what they wrote about? See below for all the winners! Be sure to continue submitting blog posts to share your opinions about Dartmouth research/ life.
Also, a big congratulations to the Digital Musics program for the highest participation level thereby winning them a party for the program!
Sadie Doran [Thayer School of Engineering]: Sadie wrote a letter to Dartmouth proclaiming her love from the moment she set foot on campus.
Mavra Nasir [Quantitative Biomedical Sciences]: Mavra submitted a post describing her research as well as a quirky field guide to being a graduate student.
Kyle Morrison [Molecular and Cellular Biology]: Kyle wrote honestly about the emotional toll of graduate school.
Camilla Tassi [Digital Music]: Camilla wrote about her research into the modern performance of early works of music.
Hannah Grover [Thayer School of Engineering]: Hannah wrote about what it's like to be in Thayer and what her day looks like.
Most Informative: Kimberley Lewis for “Impost Syndrome: Internal Prompt” [Molecular and Cellular Biology]: Kimberley wrote about why we feel like we aren't good enough, but that in the end, this too shall pass.
Most Interesting: Dominic Coles for “Leave the Needle on the Jammed Wavelength” [Digital Music]: Dominic explained his research into the role of jamming radio signals in impeding the independence of colonized nations.
Most Honest: Hyun Seong [Computer Science]: Hyun spoke about what graduate school can do to you and how it can be a weary road.
Best Research Writing: Aaron Karp [Digital Music]: Aaron explained his work into massive audio surveillance systems that must decipher important vs unimportant sounds to extract the relevant information.
Best Overall: Mary Liza Hartong [Creative Writing]: Mary Liza explained that even though her thesis is a memoir, it is just as difficult as any other degree - including physics!
If you would like to be involved in the GRAD Blog don't hesitate to reach out with any questions! You can get in touch by clicking here.
'Til next time,
by Samantha Sobol
January 29, 2018
The Women in Science Post-doctoral and Graduate Student Panel event was a safe space for the Dartmouth community to discuss effective ways to navigate sexism that is pervasive, especially in the STEM professional world. Individuals on the panel shared their personal experiences with how they have been able to triumph over gender discrimination as a woman in academia and in STEM. The event also included dinner where GWISE students and the overall graduate community could interact. Even as a student affiliated with MALS, I found this event to be incredibly inspiring and useful. This is the type of event that creates an open dialogue so change can be effectuated against gender inequality.
The workshop was an effective way to think about what is most critical to have a good workplace environment. Smaller groups were formed to talk about what issues we individually think are necessary for a positive workplace. A few ideas were selected from each group and then we debated in a larger discussion, weighing the pros and cons of each concept. Some of these ideas included having consistent research results and open-mindedness. The debate exercise was a valuable way to practice conveying our ideas verbally on the spot. As a collective group we voted on two issues discussed that were most important to us. We unanimously said that there is no place for sexism of any kind within any environment, in particular a professional one and that working overtime shouldn’t be a constant in a person’s schedule.
by Samantha Sobol
January 22, 2018
To start off the new year, Graduate Student Activities Coordinator, Sara Perz-Hintz, organized a gathering of students to create a visual representation of where they want to be in the next year. The overall tone of the event was friendly and it was a great way to meet other grad students! It was cool to see how everyone's vision board was a unique representation of themselves. The light-hearted crafting environment made it a comfortable place to delve into self-development. The worksheets were a very helpful way to plan for the upcoming year and even included goal-setting for five and ten years from now. I didn't expect to think about how my life might be a decade from now. Thinking about plans from a bigger-picture perspective was beneficial for me.
See if you can make a vision board on your own and include goals for the future. We don't get much time to think about what we will do after graduate school. But take 10 minutes this weekend and ask yourself where you want to go, what you want to do, who you want to be near after graduation. Then start setting smaller short-term goals to make those things happen. Does anyone know of a resource to help with this kind of planning? Comment on this post to start a conversation and share resources!
The proposed House GOP tax plan is detrimental to graduate education.
Under the proposed tax plan tuition waivers are to be considered taxable income. Dartmouth tuition will be considered as earned income, increasing your taxable income by ~$50,000/year (Dartmouth 2017-18 Schedule of Charges). Although your stipend would remain the same, you will be in an increased tax bracket, paying taxes on your tuition and stipend as though they were both earned income! Please see below for more information and what you can do about it.
We are calling on all graduate students to contact your representatives!