She’s a fan of Jeff Buckley who once harboured dreams of signing for Bella Union. So, can this dance diva succeed where Blue and Bonnie Tyler faltered?
“Welcome to my hooooome,” SuRie deadpans, before bursting into laughter. We are meeting ahead of the Eurovision final in Lisbon, and the UK’s contestant is perched on a velvet-upholstered chair in the opulent Portuguese embassy in London. She throws herself into the role of tour guide with aplomb. “If you see this tapestry,” she says, gesturing to a floor-to-ceiling artwork of a fleet of ships, “it depicts a voyage from Lisbon to the UK, and now I’m doing the reverse. I think there’s a lovely link.”
Today, SuRie, 29, is wearing roomy black athleisure; her candyfloss-coloured hair is cut into a short crop like Katy Perry’s. In the past her music has skewed slightly alternative, and pre-Eurovision she released a heartfelt piano-led cover of Jeff Buckley’s Lover, You Should’ve Come Over. But her current song, Storm, flips that 180 degrees: it’s a distillation of EDM and 90s dance that feels slightly dated but has the nefarious sticking power of an ad jingle. “Storms don’t last for ever,” SuRie belts out stagily, bringing to mind all those divas who have sung of making it through the rain to welcome a new day.
“It means a lot to me,” she says of her song. “I need a reminder sometimes to keep my chin up and keep perspective. If we come together, concentrating on love and positivity, we can get through it all.”
SuRie’s hope is that her posi-pop earworm will be enough to give the UK its first Eurovision win since Katrina and the Waves’ Love Shine a Light back in 1997. Even the most dedicated fan of the contest would find it hard to deny that the UK has dropped the ball in recent years, with unmemorable entries from Blue, Bonnie Tyler and last year’s balladeer, Lucie Jones. “I don’t know what the problem is,” SuRie says. “But I hope to be a small cog in that wheel of trying to improve the reputation.”
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“Indian classical music is a genre of South Asian music.It has two major traditions: the North Indian classical music tradition is called Hindustani, while the South Indian expression is called Carnatic.”
Indian classical music has two foundational elements, raga and tala. The raga forms the fabric of a melodic structure, while the tala measures the time cycle.
Indian classical music is a genre of South Asian music.It has two major traditions: the North Indian classical music tradition is called Hindustani, while the South Indian expression is called Carnatic.
The raga gives an artist a palette to build the melody from sounds, while the tala provides them with a creative framework for rhythmic improvisation using time.
There is no concept of harmony in Indian classical music.
1. It’s *the* biggest cross-over event.
Come on, where else are you going to be able to see Maya Jama and Naughty Boy on the same stage as presidents and prime ministers.
Global Citizen Live is a unique combination of activism and entertainment — and you’ve probably not seen anything like it!
2. We’ve got artists up to our eyeballs.
With eight different artists performing we’ve literally got something for everyone. Emeli Sandé, Professor Green, Naughty Boy, Gabrielle Aplin, Little Simz, and Kojo Funds are going to be strutting their stuff all over the stage.
And if music’s not your thing, tune in and check out Hussain Manawer’s spoken word poetry, and the comedy stylings of Luisa Omielan.
3. Be part of the movement.
Hundreds of thousands of global citizens have been taking actions around the world in the run-up to the Commonwealth Summit in London — which is the whole reason we’re hosting Global Citizen in Live in London!
As well as being able to watch the whole show when you tune in, you’ll have the chance to take action as we go. We’ll have all sorts of ways you can take action on gender inequality, malnutrition, preventable diseases, and more, while you watch.
Every time a pledge is made on the Global Citizen Live stage, even more lives will change forever.
4. We have some very exciting announcements to make.
No spoilers, but some very important people will be announcing some very important things on the Global Citizen Live stage. It’s all very hush-hush so you’ll have to tune in to find out what.
5. Get inspired.
Global Citizen has a history of bringing to our stage some of the world’s most incredible human beings.
Malala, Michelle Obama, and Justin Trudeau have all stood up in front of our crowds before, and we have some equally impressive people to introduce you to in London.
Get ready to be extremely motivated.
6. It’s a Tuesday.
Don’t even tell us that Tuesdays are the new Friday and you’ve got a huge night out planned. It’s a school night, calm down.
We can promise that you’ll still have a fantastic night curled up at home with a nice cup of tea and the cat, with Global Citizen Live on your laptop. And you’ll wake up fresh on Wednesday morning.
7. It’s so easy.
We’ve covered all the bases, so however you prefer to get your streaming content we’ve got you.
You can watch the whole show live on the FFM Live Lounge.
8. The memories will live on.
Because we know you’ll want to relive the Global Citizen Live moment forever, we’ll have loads of content during and after the event to share with you on our Facebook, Twitter, and Instagram.
Global Citizen campaigns to achieve the UN’s Global Goals to end extreme poverty by 2030. You can join us by taking action here .
Roger Moisan became a Global Citizen in 2017. Join Roger here and be part of the movement
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अंकुर बीप्लव द्वारा
आज सुबह जब रियाज़ कर रहा था, उसी वक़्त मुझे अपने बचपन की याद आ गई जब मैं अपने दादा जी से मिलने देवघर (झारखण्ड ) गया था और वहां दादी माँ के कैसेटों के संकलन से सुबह -सुबह जौनपुरी की बंदिश ऐ रि फिरत एक दमदार आवाज़ में सुना.
उस वक़्त तक मैं राग से अनजान था, सुर का भी ज्ञान नहीं था लेकिन गीत सुनकर मैं डूब गया। गजब का आकर्षण था उस आवाज़ मे . बाद में दादी माँ ने बतलाया वो कोई और नहीं उनके पिता जी स्वर्गीय राजकुमार श्यामनन्द सिंह की आवाज़ है। मैं बहुत ख़ुश हुआ था।
बाद के वर्षों में जब मेरी थोड़ी और रूचि बढ़ी तो मैंने राजकुमार श्यामानन्द सिंह की आवाज़ में “दुःख हरो द्वारिकानाथ ” को सुना और ऐसा लगा कि वो सच मे कितने दिल से द्वारिकानाथ को याद किया करते थे . जितनी बार इस भजन को सुनता उतना और सुनने का मन करता. यहीं से शास्त्रीय गायन से मेरा लगाव बढ़ा।
बाद में राजकुमार श्यामानन्द के बारे में ख़ूब सारी जानकारी इकट्ठा करने लगा। उनका जन्म 27 जुलाई 1916 को हुआ था.उन्होंने अपनी शुरुआती संगीत शिक्षा उस्ताद भीष्मदेव चटर्जी से ली थी.बाद के दिनों मे उस्ताद बच्चू खान साहब और पंडित भोलानाथ भट्ट से भी उन्होंने संगीत की शिक्षा ली थी.
जैसा की मेरे घर में पापा बताते हैं की उनकी दुःख हरो द्वारिकानाथ भजन को सुनकर केसरबाई जैसी गायिका ने उन्हें अपना गुरु बनाने की इच्छा जताई की थी.जब भी कोई इनके गाने को सुनता तो वो बस सुनता ही रह जाता था। सबसे खास बात इनके गाने की वो थी बंदिश की अदायगी .
वैसे मेरी दादी माँ यह भी बताती है की बाबा (राजकुमार श्यामनन्द सिंह) शिकार के भी बहुत शौक़ीन थे.वे स्पोर्ट्स मे भी उतनी ही रूचि रखते थे. मैं सोचता हूं कि बाबा एक जीवन में कितना कुछ कर गए। उनके बारे में सोचकर ही रोमांचित हो जाता हूं।
आज 9 अप्रैल 1994 के दिन ही उन्होंने गाते गाते ही अपने प्राण त्याग दिए थे. ये मेरा सौभाग्य है कि वो मेरे पापा के नाना जी थे. लेकिन मुझे इस बात का दुःख है की मै उनसे कभी मिल न सका ना उन्हें गाते सुन पाया . तो भी यह सोचकर गर्व होता है कि मैं उनके परिवार का हिस्सा हूं। वो सच मे एक गायक नहीं साधक थे.
Debdeep is an Indian Classical Music Singer of the ancient Indian tradition. He will be performing at the GOLPARK RAMAKRISHNA MISSION on the 7th April from 6pm. All are invited but if you are not in this part of India or, not in India at all, you can see Debdeep’s concert here at FFM via the Live Lounge.
Good luck Debdeep and much love from your friends around the world!!
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Our services so far:
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- Flex your journalistic muscles and publish your music blog on our website.
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If you would like us to promo your work, all you need to do is message me, Roger Moisan, with your links etc, and we will do the rest.
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In this article we use machine learning to explore the ways that neighborhoods are connected by live music.
“Every day’s an endless stream
Of cigarettes and magazines.
And each town looks the same to me, the movies and the factories…”
From Right Here to Everywhere
A musical scene can indelibly define a place. The specific culture of a neighborhood can give birth to a new sound. From New Orleans Jazz to DC Hardcore, Greenwich Village Folk to Queensbridge Hip Hop, musical scenes have been intertwined with the identity of geographic areas ranging from specific street intersections (Haight Ashbury) to entire metropolitan areas (Nashville).
At the same time, since antiquity, music has travelled — from medieval troubadours, to the traveling opera companies of the mid-nineteenth century, through to the decades long cross-country meanderings of the Grateful Dead.
With the rise of the internet and streaming services, new music can reach millions of geographically distributed fans at once, allowing highly specific genres like Chicago Footwork to develop a passionate following in London and even find new expression in cities as far away as Hiroshima. Increasingly the internet itself is the metropolis where genres like Vaporwave and Seapunk are born.
Yet, despite the simultaneous, everywhere nature of the internet and music streaming — or perhaps because of it — touring remains a vital (if troubled) facet of the music industry. Musicians continue to connect with fans in neighborhoods across the globe through live shows. In this article we explore the links between these geographically distributed fanbases and ask: how do touring musicians connect neighborhoods?
Since forming Topos last February, we’ve been fascinated by a simple question: what does distance mean in the 21st century? While in past articles we’ve explored holistic understandings of distance that leverage a wide range of heterogeneous data and technologies (first in New York City, then more broadly across the US), in this article, we focus narrowly on a single dataset and technological approach. In particular, we take the tour dates of musicians traveling across the US from 2008 to the present as the basis for a machine learning model that allows us to develop a tour-based distance metric relating neighborhoods across the US. We then use this metric to algorithmically generate venue and neighborhood suggestions for touring musicians.
Below: A sampling of touring patterns across the U.S.
A Model Built on Co-occurrence
Collaborative Filtering (CF) is one of the most widely used machine learning approaches for determining distance between entities. Once calculated, these distances are often used to power recommendations. From Spotify’s Discover Weekly to Amazon’s product recommendations, CF algorithms form an important part of many well known recommendation engines.
The fuel for CF recommendations are datasets where candidate recommendable items co-occur. Amazon’s recommendations are fueled by the co-occurrence of items in users’ shopping carts; Spotify’s Discover Weekly is fueled by the co-occurrence of songs in user generated playlists and listening histories. In our case, the co-occurrence of venues and neighborhoods on the schedules of touring musicians provided the input for our CF-based similarity metric. We were able to construct these schedules by hooking into the setlist.fm API, an incredible resource that has data on concerts in the US dating back to 1850.
Exploration: Neighborhood Similarity
We start exploring our tour-based similarity metric by looking at three very different neighborhoods: Bushwick NYC, Downtown LA, and Maryvale, Phoenix
Bushwick is most similar to other well known hipster neighborhoods across the US. It is perhaps telling that there is not one but two bands whose names start with the word “Acid” amongst the most popular acts in the list of similar neighborhoods.
Popular Musical Acts: Acid Mothers Temple, John Maus, Ty Segall, Widowspeak, Acid Baby Jesus
Home to the 21,000-seat Staples Center, Downtown LA’s most similar neighborhoods are other centrally located neighborhoods surrounding big arenas like the Boston Garden and Philadelphia’s Wells Fargo Center. Popular acts in these neighborhoods tend to be top-of-the-charts musicians and — across the board — the Trans-Siberian Orchestra, a band famous for going directly to arenas without ever having played smaller clubs or opening for other bands.
Popular Musical Acts: Lady Gaga, Rihanna, Katy Perry,Justin Bieber, Trans-Siberian Orchestra
Maryvale — famously one of first planned communities in the United States — is located on the edge of the city of Phoenix; its most similar neighborhoods tend be outside of major metropolitan city centers (Fair Park Dallas), or to form small municipalities in their own rights (Tinley Park IL, Englewood CO). Mainstream Country and Metal are generally the most popular genres, with a solid showing from 70s Classic Rock Bands (Journey, Boston, Styx).
Popular Musical Acts: Brad Paisley, Toby Keith, Mötley Crüe, Slipknot, Journey
The Closest Connections
By allowing only the strongest links (>top .1 percentile) between neighborhoods to remain, we can observe some interesting neighborhood groupings. One striking aspect of these groups is their diversity: some are tightly connected geographically (Group 2) while others span the breadth of the country (Group 5); some have narrow genre preferences (Group 4) while others exhibit more eclectic tastes (Group 1).
Group 1: Pacific Northwest
Separated by 182 Miles, this small cluster of two neighborhoods spans a wide range of genres. Within this stylistic diversity, the most frequent acts tend to be older, established medium-popularity performers
Top acts: Indigo Girls, The B‐52s, Brandi Carlile, Ziggy Marley, Aimee Mann
Group 2: Insider NYC
Separated by just 4 Miles, this small cluster is the tightest geographically. Group 2 is also the most ‘local’, with 16 of the top 20 (mainly alt/indie) performers based in NYC.
Top Acts: Widowspeak, Moon Hooch, Men and Whales, The Bottom Dollars, Sharon Van Etten
Group 3: Almost Country
Largely comprised of western neighborhoods (with Tinley Park IL as the sole exception), group 3 has a corresponding passion for country music; half of the top ten acts are mainstream country musicians (Brad Paisley, Luke Bryan, Toby Keith, Zac Brown Band, Rascal Flatts). As in the earlier exploration of Maryvale, Mainstream metal and 70’s classic rock are also favorites.
Top Acts: Brad Paisley, Slipknot, Luke Bryan, Mötley Crüe, Journey
Group 4: Central Downtown Areas
Connecting centrally located downtown areas, Group 4 is the most geographically dispersed. In contrast to this geographic diversity, Group 4 is tightly focused on a particular spectrum of sound — the pop-punk/emo/post-punk continuum (with some Comedic Metal — Steel Panther, Gwar — sprinkled in).
Top Acts: Steel Panther, Say Anything, All Time Low, The Used, Mayday Parade
Group 5: Arena Haloes
Centered around huge stadiums (NYC’s Madison Square Garden, The Boston Garden, Chicago’s United Center) the neighborhoods in Group 5 are visited by arena-filling superstars like Bon Jovi, Kanye West, and of course, Billy Joel whose monthly MSG residency (and accompanying helicopter commute) has become legendary.
Top Acts: Trans‐Siberian Orchestra, Bon Jovi, Roger Waters, Rihanna, Katy Perry
Similarity metrics are often constructed in order to power recommendation engines. And where Spotify might recommend an album or Netflix might suggest a movie, here we give examples of using our similarity metric to recommend venues and neighborhoods for touring musicians, focusing on locations where the musician rarely, if ever, performs. For each act, we also produce a list of similar musicians based on their touring schedules.
We then flip directions and focus on location, recommending musicians who have yet to perform but would be most likely to find an audience for a sampling of venues.
From Nodes to Edges
In this article, we’ve constructed a narrow, highly specific view of place, ignoring myriad factors that shape neighborhoods. While there is a small but statistically significant correlation between the similarity metric constructed here and the Topos Similarity Index (which increases for certain cities), these measures are largely orthogonal. The TSI is a holistic measure of similarity, encompassing everything from the form of the built environment to the ratio of big box stores to local retailers, while here we have worked with a single data source pertaining to one facet of culture.
Yet even this narrow view reveals much about neighborhoods, from their form (the connected downtown neighborhoods surrounding large arenas) to their milieu (the hipster neighborhoods connected to Bushwick).
We believe this approach starts to demonstrate the potential of understanding location as a set of relationships rather than solely as a set of isolated points or regions to which metrics are ascribed. Many applications of Location Intelligence — from opening a new store to planning a trip, launching a political campaign to arranging a tour — are ultimately about relationships: Brand and customer, traveller and a foreign culture, politician and constituent, touring musician and fan. Understanding the manifold ways one place is similar to another provides rich context for expanding these relationships into new territories.
This post is part of an ongoing series capturing different insights we generate while developing our platform. We would love to hear your feedback. If you enjoyed this article please share and 👏 a few times so other people can see it too.