It so happens that they’re also well studied by machine learning and computer vision researchers, who have developed various means of analyzing them efficiently. Use AI to explore thousands of hours of humpback whale songs and make your own discoveries. Fortunately, whales call to each other and sing in individually identifiable ways, and these songs can travel great distances underwater.
Google has many special features to help you find exactly what you're looking for. The new Google News COVID-19 feature organizes stories by topic such as the economy, health care and travel—as well as by region so people can better understand the pandemic's impact around the world. As with similar applications of machine learning in various scholarly fields, this isn’t going to replace careful observation and documentation but rather augment them. All content appearing on this Website is the property of: As a user, you are authorized only to view, copy, print, and distribute documents on this Web site so long as (1) the document is used for informational purposes only, and (2) any copy of the document (or portion thereof) includes the following copyright notice: Post was not sent - check your email addresses! In this case the data was years of recordings from a dozen hydrophones stationed all over the Pacific. Using their machine learning techniques for conservation was attractive enough of an idea that Google jumped on board and a plan was made to teach a computer how to identify humpback whale songs. Welcome to the overview page for Pattern Radio: Whale Songs, a site that lets you explore thousands of hours of whale songs using AI. You put your right fin in, In fact, Google has used HARP (high-frequency acoustic recording packages) devices to collect audio data (9.2 terabytes) over a period of 15 years.
And you turn yourself around Manually marking humpback whale calls is extremely time-consuming. Google and a group of game cetologists have undertaken an AI-based investigation of years of undersea recordings, hoping to create a machine learning model that can spot humpback whale calls. You do the Shamu Shimmy (shake whole body) This data set has already largely been investigated, but Google’s researchers wanted to see if an AI agent could do the painstaking and time-consuming work of doing a first pass on it and marking periods of interesting sound with a species name — in this case humpbacks, but it could just as easily be a different whale or something else altogether. And that’s how we’ve done it for quite a while, though computers have helped lighten the load. A second effort relied on what’s called unsupervised learning, where the system sort of set its own rules about what constituted similarity between whale sounds and non-whale sounds, creating a plot that researchers could sort through and find relevant groups. Whales travel quite a bit as they search for better feeding grounds, warmer waters and social gatherings. You put your right fin in (right bent elbow), These AI (we employ the term loosely here) models are great at skimming through tons of noisy data for particular patterns, which is why they’re applied to voluminous data like that from radio telescopes and CCTV cameras. Pattern Radio: Whale Songs is a website that lets anyone explore thousands of hours of whale songs.
The site is a collaboration between Google and the National Oceanic and Atmospheric Administration (NOAA) Pacific Islands Fisheries Science Center (PIFSC) in Hawaii. Spectrograms of whale song, left, an unknown “narrow-band” noise, center, and the recorder’s own hard disk drive, right. Continue: left fin (left bent elbow) pectoral fin (back) blowhole (top of head) flukes (lean back a little and raise all toes at one time), Song for whale (to the tune : take me out to the ball game). And thanks to our friends across Google (Creative Lab, PAIR, Google AI) who helped along the way. These spectrograms are a record of the strength of sound in a range of frequencies over time, and can be used for all kinds of interesting things. It’s a new kind of tool that visualizes audio at a vast scale and uses AI … That’s what it’s all about. The blue ones represent humpback calls. Sorry, your blog cannot share posts by email. That’s not a small amount of error, of course, but if you trust the machine a bit you stand to save quite a bit of time — or your lab assistant’s time, anyway. The machine learning model was provided with examples of humpback whale calls and learned how to identify them with reasonable accuracy in a set of sample data. The final effort divided the years of data into 75-second clips, and the model was able to determine, with 90 percent accuracy, whether a clip contained a “humpback unit,” or relevant whale sound. Google’s team, in partnership with NOAA, decided this was a good match for the talents of machine learning systems. Song for whale (to the tune : take me out to the ball game) Take me out to the ocean Take me out to the sea There goes a starfish and sand dollar, I’m having such fun, I’ve just got to holler Oh, it’s swim, swim, swim underwater Catch a ride on a whale, don’t fear, For the sea animals are our friends, Let’s give a … Song Maker, an experiment in Chrome Music Lab, is a simple way for anyone to make and share a song. I saw a video from Sea World years ago, and I have no idea if it’s still available anywhere, but my favorite song was “The Shamu Shimmy” sung to the tune of “The Hokey Pokey.” Instead of YOUR body parts, you use the WHALE’S body parts. Taking some of the grunt work out of science lets researchers focus on their specialties rather than get bogged down in repetitive stats and hours-long data analysis sessions. That is why, researchers at Google, deployed supervised machine learning models to optimize images for detecting the whales. Song Maker, an experiment in Chrome Music Lab, is a simple way for anyone to make and share a song.
And you shake it all about
Click to email this to a friend (Opens in new window), Click to share on Facebook (Opens in new window), Click to share on Pinterest (Opens in new window), Click to share on Twitter (Opens in new window), Click to share on LinkedIn (Opens in new window), Click to share on Reddit (Opens in new window), Click to share on Tumblr (Opens in new window), Five Hundred Free Fall Activities For Preschoolers, Biters: Why They Do It and What To Do About It, Free Printable Behavior Charts for Home and School, Perpetual Preschool Lesson Plans and Online Workshops. It makes for more interesting visualizations but it is rather harder to explain, and at any rate doesn’t seem to have resulted in as useful a set of classifications as the more traditional method. Take me out to the ocean Take me out to the sea There goes a starfish and sand dollar, I’m having such fun, I’ve just got to holler Oh, it’s swim, swim, swim underwater Catch a ride on a whale, don’t fear, For the sea animals are our friends, Let’s give a great big cheer!! But naturally these movements can be rather difficult to track. Various experiments were conducted to suss out what settings were optimal — for instance, what length of clip was easy to process and not overlong, or what frequencies could be safely ignored. Hello! You put your right fin out, Interestingly, but not surprisingly in retrospect, the audio wasn’t analyzed as such — instead, the audio was turned into images it could look for patterns in. Song Maker, an experiment in Chrome Music Lab, is a simple way for anyone to make and share a song. June 2019 | By NOAA & Google Creative Lab. So with a worldwide network of listening devices planted on the ocean floor, you can track whale movements — if you want to listen to years of background noise and pick out the calls manually, that is. Search the world's information, including webpages, images, videos and more. Many thanks to our collaborators Ann Allen (NOAA), Christopher Clark, Annie Lewandowski, Peter Tyack, David Rothenberg, and Use All Five. Google and a group of game cetologists have undertaken an AI-based investigation of years of undersea recordings, hoping to create a machine learning model that can spot humpback whale … Visualization of how the unsupervised model classified various sounds.
It’s part of the company’s new “AI for social good” program that’s rather obviously positioned to counter the narrative that AI is mostly used for facial recognition and ad targeting.
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