JVC’s Victor WOOD Master earbuds boast self-healing exterior, authentic wooden drivers for pristine sound

Options for true wireless earbuds have exploded in the last couple of years owing to technological innovations and the affordability of owning them. The marketplace is flooded with so many TWS earbuds that you, as a buyer, find it hard to decide which one fits your set of priorities. For a manufacturer, the ideal strategy is to come up with a pair that is distinct from the other available options.

In the audio world dominated by the likes of Sony, Bose, Sennheiser, Technics, and many more, JVC has revealed its pair of earbuds that are unlike any one of them, at least in form. The unique distinction that the company is pitching these earbuds is their ability to self-heal from minor scratches. Meaning, they’ll look in pristine condition even if you are one of those users who stashes earbuds and keychains in the same pocket.

Designer: JVC Kenwood

Meet the Victor WOOD Master earbuds by the Japanese audio pioneer, which have a self-healing paint coated on the exterior of the shell. Whenever there are hairline scratches on the earbuds, they self-heal over time when exposed to heat from sunlight or other sources. This is the same technology that’s used in car paints, employing a polymer structure for the pristine magic. The USP extends to the interior as well, where the use of exclusive materials for the drivers promises an ear-pleasing sound signature. They get the industry’s first hybrid WOOD Driver that has pulp and African rosewood in the diaphragm of the 10mm drivers.

The result, pristine vocals and studio-like sound across all the frequencies. All the audiophiles out there will have keen ears on these ones, I’m sure, especially if looking for an audio profile that is distinct from any other pair out there. JVC also promises the highest noise cancellation levels in the world, courtesy of the dedicated high-performance IC and Knowles microphones. Now, that’s a claim we’ll have to test, and if true, Bose and Apple better watch out.

The buds are accompanied by the oval-shaped Spiral Dot Pro SF ear tips, which improve the reproduction of high-frequency sounds without any bloating. Their oval shape ensures a snug fit and reduced pressure with long-term use. To make the audio sound as good as it is perceived, the Personalized Sound system scans the user’s ears to toggle the audible output. Spatial Audio is another great feature that’ll make these buds appeal to users who want bang for their buck.

Apart from the self-healing paint, the Hi-Res Audio earbuds boast an IP55 rating for dust and water resistance. Three-year warranty by the maker reflects the trust they have in their product, which is another assuring point.  Support for SBC, AAC, and LDAC codecs over Bluetooth 6.0 is good news for users who like to own their pair of earbuds for more than a couple of years. Another compelling reason for advanced listeners to consider these is the two-device multipoint connectivity and low-latency gaming mode.

Victor WOOD Master earbuds have a battery life of around 10 hours on a single charge, which extends to 31 hours in the case. With ANC on, these numbers slip down to 7 hours on the buds and 14 hours in the case, respectively. The case is Qi wireless charge compatible, and a quick charge of 15 minutes will be good for over one and a half hours of listening time. The earbuds are slated for late November release in two color options: Sunburst Brown and Piano Black, for a price of around $270 in Japan.

The post JVC’s Victor WOOD Master earbuds boast self-healing exterior, authentic wooden drivers for pristine sound first appeared on Yanko Design.

Memoreel captures nostalgic sensibility, fuses it with AI to create music and art from recorded emotions

Generative AI has the power to create music, images, content and videos from your input. Now, someone believes that not only words and text, but even memories need to be created into music. If you talk about preserving memories, photo frames and albums (digital or physical) are the best options that come to mind. Now memo:reel (yes, it’s an interesting wordplay) is designed to let you transform your memories into music and art.

This emotion-driven AI device for music and art generation is conceptualized to allow each recorded emotion to be expressed through sound and visuals. And for this, one part of it is designed to resemble a traditional cassette player, whose speakers are used to play the created sounds. The recording and generation are done on separate devices. The idea behind the memoreel concept is to provide users with a new way to reconnect with themselves through the creative interpretation of their emotions.

Designers: Ji Hun Lee and CAU ID

 

To simply understand, memoreel uses a combination of the records of your daily moments and emotions and generative AI that creates music and artwork from these emotions, so you can relive them in a new format. The device basically comprises three primary units: a Speaker, a Frame, and the Record unit. The recording unit – a note taker (for written and verbal input) passes the recorded moments and emotions you want to remember either to the Frame (a monitor-like device) or the speaker unit (which is the cassette player-like contraption).

The Frame is a tiny monitor that generates and replays your emotional input as your own artwork, while the Speaker generates and replays them as your own music. The Speaker unit here is not just a look-alike of the cassette player; in fact, with its tactile knobs, it functions like one. In addition, a reminiscent façade – with a cassette-like slot for the Record unit – the top of the Speaker has a volume knob, a Track knob, and a power switch to turn the system on and off.

So, record your memories and emotions into layers of records and they turn them into music in your own sound. Yes, the memoreel’s built-in AI allows you to record your voice and then learns your voice and creates music sung in your own tone. You can pick the genre and style, enter prompts to express your mood and your own song comes to life that you can listen to or get others involved in your mood.

If the Speaker captures the nostalgic sensibility of a retro cassette player, the Frame is a rendition of a television set with a recording antenna on the top, a power switch at the back, and an interesting memory knob on the front. The knob lets you change between different memory-based artworks. Making things most interesting is the Note unit, which can attach to the back of your smartphone to record your emotions and feelings on the go.

The post Memoreel captures nostalgic sensibility, fuses it with AI to create music and art from recorded emotions first appeared on Yanko Design.

Spotify now includes a built-in tool for importing your playlists from other services

Spotify definitely wants you to only use Spotify for streaming music, but it’s willing to admit that you might have used another service in the past. Those people can now more easily import their playlists into the Spotify app, thanks to its latest integration with TuneMyMusic.

Available through Spotify mobile users and rolling out globally from today, you can access the new feature through Your Library in the Spotify app. Scroll to the bottom and you’ll see an option to import your music by connecting to TuneMyMusic (it looks like it boots you into your browser at this stage) and choosing the service you want to transfer from. Apple Music already lets you do something similar directly from within your settings on an iPhone, iPad or Android device, or through the web.

TuneMyMusic supports transfers into Spotify from a wide range of streaming platforms, including Apple Music, YouTube Music, Amazon Music and Tidal. You won’t lose your playlists in the source location. It’ll just copy them over so they appear in your Spotify library.

If you aren’t already aware, Spotify lets you customize playlists in a number of ways, from inviting friends to add their own songs, to designing the cover art yourself. So if you’ve been considering a jump from elsewhere, this new feature should make the transition a little easier.

This article originally appeared on Engadget at https://www.engadget.com/apps/spotify-now-includes-a-built-in-tool-for-importing-your-playlists-from-other-services-175100343.html?src=rss

Spotify’s SongDNA feature will show you which songs are sampled on a track

Spotify has unveiled an upcoming interactive feature called SongDNA designed to show you the samples, collaborators and covers included in a given track, the company announced. As part of that update, Spotify also revealed that it has acquired WhoSampled, the company behind the SongDNA technology.

"Through our recent discussions with Spotify, it became clear that we share a strong belief in the power of musical context — and a vision for helping listeners go deeper into the songs they love," the WhoSampled team wrote in a blog post

Terms of the deal weren't disclosed, but Spotify is acquiring both the WhoSampled team and its database. WhoSampled's standalone platform and brand will continue to operate following the deal with improvements like faster moderation times, the elimination of display ads and free downloads and subscriptions for its mobile apps.

Spotify Premium users will see the SongDNA feature in the "Now Playing" view. It's described as a way to see connections between songs, "showing collaborators, samples and covers all in one place," Spotify wrote. 

In the song Kiss me More (feat. SZA), for example, SongDNA shows Carter Lang and two other composers, along with Doja Cat and SZA as the main artists. It reveals that a sample is used from Olivia Newton-John's Physical and that Kiss me More has been covered multiple times, most prominently in a Japanese version by the artist Rainych.   

Spotify is also working on a feature called "About the song," showing swipeable cards in the "Now Playing" view. Those will reveal information like the inspiration for a song, how the music was created and the cultural impact — all with links to the sources.

London-based WhoSampled tracks over 1.2 million songs and 622,000 samples in its database, along with covers, remixes and artists. Its mobile app offers a Shazam-style music recognition service that can tell you the song you're listening to and any samples it might contain. The two companies have partnered previously on a deal that allows WhoSampled users to access their Spotify playlists and tracks.

This article originally appeared on Engadget at https://www.engadget.com/entertainment/streaming/spotifys-songdna-feature-will-show-you-which-songs-are-sampled-on-a-track-130050490.html?src=rss

Warner signs AI music licensing deal with Udio

Warner Music Group (WMG) settled a lawsuit with an AI company in exchange for a piece of the action. The label announced on Wednesday that it had resolved a 2024 lawsuit against AI music creation platform Udio. As part of the deal, Udio gets to license Warner's catalog for an upcoming music creation service. This follows a similar settlement between Universal Music Group and Udio, announced last month.

Udio's service will allow subscribers to create, listen to and discover AI-generated music trained on licensed work. You’ll be able to generate new songs, remixes and covers using favorite artists' voices or compositions. The boundaries between human creation and an algorithm's approximation of it are about to grow murkier. Not in terms of artistic quality, but it will be based on what proliferates online.

WMG is framing the deal as a win for artists, who will — if they choose to opt in — gain a new revenue stream. Ahead of the service’s launch, Udio will roll out "expanded protections and other measures designed to safeguard the rights of artists and songwriters."

So, the settlement does at least appear to reassert some control over artists’ work. What the normalization of robot-made music will do for society's collective tastes is another question.

A neon sign on a wall, reading, "You are what you listen to."
A neon sign on a wall, reading, "You are what you listen to."
Mohammad Metri / Unsplash

The settlement echoes a warning Spotify sounded to musicians and labels last month. "If the music industry doesn't lead in this moment, AI-powered innovation will happen elsewhere, without rights, consent or compensation," the company wrote. Spotify plans to launch "artist-first AI music products" in the future, a vague promise to be sure. However, given Udio's plans, it wouldn't be surprising to see the streaming service cooking up a similar licensed AI music-creation product.

"We're unwaveringly committed to the protection of the rights of our artists and songwriters, and Udio has taken meaningful steps to ensure that the music on its service will be authorized and licensed," Warner Music CEO Robert Kyncl wrote in a press release. "This collaboration aligns with our broader efforts to responsibly unlock AI's potential - fueling new creative and commercial possibilities while continuing to deliver innovative experiences for fans."

This article originally appeared on Engadget at https://www.engadget.com/ai/warner-signs-ai-music-licensing-deal-with-udio-213433325.html?src=rss

Someone Built a Working Synth From Cardboard and Walnut Keys

Most synthesizers look and feel like appliances. They’re plastic boxes mass-produced in factories, efficient and functional but utterly lacking in personality or warmth. Pianos and guitars get to be handcrafted instruments with wood grain and visible joints, while synths are treated like glorified toasters with circuit boards inside. That disconnect between electronic music and tactile craft has always felt like a missed opportunity, especially when you consider how satisfying it is to play a real wooden keyboard.

One maker decided to fix this by building a fully functional synthesizer from scratch, using materials that sound completely impractical. The result is a compact, 34-key synth with a fiberglass-reinforced cardboard body, a steam-bent walnut frame, and individual keys handmade from oak and walnut. It looks like something between a vintage record player and a mid-century hi-fi component, with a turquoise fiberglass shell and warm wooden accents that feel more like furniture than electronics.

Designer: Gabriel Mejia-Estrella

The body starts as folded cardboard panels cut from a template, then gets layered with fiberglass cloth and epoxy until it transforms into a rigid, glossy shell. The process borrows from old automotive techniques where fiberglass shaped custom car bodies in the 1950s, giving the synth a retro-futuristic sheen. Around the perimeter sits a continuous steam-bent walnut strip with oval cutouts that mimic speaker grilles on vintage radios, adding visual warmth and a furniture-like presence.

The keys are where the craft really shows. Black keys are made from laminated walnut offcuts, while white keys are cut from oak for contrast and durability. Each key is individually shaped, drilled for a shared steel rod pivot, beveled to prevent jamming, then coated with fiberglass and sanded up to 3000 grit for a smooth finish. The result looks and feels closer to a piano than a typical plastic keyboard.

Underneath sits a custom flexible printed circuit with interdigitated copper pads and rubber dome switches. When you press a key, the dome collapses and bridges the pads, closing a circuit that a Teensy microcontroller scans continuously. The Teensy sends MIDI messages to a Raspberry Pi running Zynthian, an open-source synth platform packed with engines and presets, all displayed on a small touchscreen.

Of course, using cardboard and steam-bent walnut creates challenges the designer readily admits. Cardboard turned out to be impractical, requiring multiple fiberglass layers and tedious filling. Walnut is notoriously stubborn to bend, needing kerf cuts and boiling water to soften the fibers. The designer suggests foam board or 3D printing as easier alternatives and notes that more precise tools would have made the keys cleaner.

What makes this synth significant is how it challenges the assumption that electronic instruments have to be cold and industrial. By using wood, fiberglass, and visible handwork, it reintroduces warmth and personality into something usually purely functional. It’s less a finished product and more proof that synthesizers can be beautiful, tactile objects worth admiring even when silent.

The post Someone Built a Working Synth From Cardboard and Walnut Keys first appeared on Yanko Design.

Nintendo Switch-inspired DJ Console Splits Into Two So You Can Deejay With A Friend

It was pretty game-changing back in 2015 when Nintendo dropped the Switch, ushering in a wave of 2-player gaming on the same console. Two joy-cons, one console, mano-a-mano gaming. You didn’t need an extra controller – Nintendo built right one into the Switch. Designer Eunjun Jang wants to bring that same modular multiplayer culture to deejaying… because it’s an activity that is conducive to socializing.

Nobody plays music alone, the act of deejaying is inherently social. Look at the Boiler Room sets, where the deejay is surrounded by sometimes a hundred or more people, absorbing the energy emanating from the console and the speakers. The ‘Twin’ DJ Console just turns that emotionally social activity into a physically social one. Two player decks, one mixer in the middle, quite like a Nintendo Switch but for music. The units snap together to create a single 2-player console, but split them apart and they’re like a mano-a-mano setup for two deejays trying to collab in real-time.

Designer: Eunjun Jang

The Twin has this clean-yet-fun design, sort of like if Teenage Engineering met Braun. The console strays away from extra fluff, giving each player just a tiny screen that lets them monitor effects and whatnot. The music itself plays from smartphones which pair with each of the player units. Run the Twin app and place each phone above the player and you sort of see how the entire setup looks like a Pioneer XDJ or something. The controls are simplified, and the entire device is nearly 60-70% smaller than your average DJ console. This makes the Twin perfect for using on the go, in your bedroom, or at a café.

The design is truly fascinating, although it begs for some color and vibrancy. You’ve got the mixer front and center, with EQ knobs, a cue button for each deck, channel faders, and a crossfader that lets you swap between left and right decks, so you’re shifting between songs. On the player themselves, you’ve got a tempo key to let you manually sync songs, a cue key that lets you trigger a particular part of a song, and a play-pause key that form the most crucial set of controls. There are 4 extra keys on the top corner, along with a shift key, and while most DJ consoles have a disc that you spin to rewind/forward or scratch music, the Twin ditches that for an elegant jog-wheel on the side. It’s cute, and it gets the job done, although seasoned deejays may have their own hot-takes.

The modularity is what sets the Twin apart. You can pull the individual parts together and sit across each other, mixing music from your phones. Why build a Spotify playlist when you can literally play a deejay set in your jammies? It feels much more involved, allowing friends to bond and jam together in a way that Spotify or Apple Music just won’t let you.

Pogo pins allow you to snap the elements together or pull them apart, quite like the Nintendo Switch. Ultimately, that’s exactly the vibe Eunjung was going for. Games are nice, but music is just *chef’s kiss*. Each player gets their own dedicated deck, but you might end up fighting for the mixer if you’re not careful! You want to vibe together like Disclosure, not call it quits like Daft Punk!

That said, the Twin still feels like just a toy right now. It lacks the extra features that most professional DJs would really need. Proper effects, looping, the ability to add separate vocal channels, or even shift pitch. Then again, most amateur-level DJ kits stick to the basics, allowing for more simple techniques so that people can master those before moving onto larger tasks. Although, that’s where Twin’s modularity does come in handy. Imagine if Eunjung just designed a set of Pro-grade players that you could snap to your mixer, turning your entry-level DJ set into something enough to sustain a bloc party!

The post Nintendo Switch-inspired DJ Console Splits Into Two So You Can Deejay With A Friend first appeared on Yanko Design.

New streaming app Coda Music is rolling out tools for labeling and blocking AI-generated tunes

At this point, the streaming music landscape feels pretty well settled. Giants like Spotify, Amazon, Apple and YouTube duke it out at the top, while plenty of other players like Qobuz, Tidal, Deezer try their best to stand out from the pack. Somewhat surprisingly, though, a new player emerged in September. Coda Music used the recent backlash around Spotify co-founder Daniel Ek as a way to differentiate itself from the number one streamer, calling out Ek’s controversial funding of defense technology firm Helsing earlier in the year. (Spotify’s refusal to stop airing ICE recruitment ads certainly hasn’t helped the platform, either.)

Today, the fledgling service is announcing a new feature that feels designed to answer another of the recent Spotify controversies: AI slop music flooding the platform. In response, Coda Music is launching AI identification tools with the purpose of finding and labeling songs that weren’t composed by actual humans.

There are a few prongs to Coda’s approach. For starters, any artist added to Coda will be reviewed for AI origins, and their profile will be labeled “AI Artist” so that listeners know what they’re getting into. Coda is also letting users flag profiles of artists if they suspect the music is AI-generated; the company will then review them and label them if necessary.

Finally, there’s a toggle in settings that just lets you turn off AI artists entirely. Obviously, how useful this setting is will depend on how good Coda gets at labeling AI-created music as such, but I can definitely see the appeal in just flipping that to “off” and avoiding as much slop as possible.

Besides its stance on AI and the assurance that the company does not “invest in war,” there are a few other differentiators about Coda Music. The company says that it currently paying the “highest per-stream rate” in the industry — while at the same time, it acknowledges that no one is paying enough to artists. “The real problem isn’t how much is paid per stream, it’s that streaming alone doesn’t pay enough,” the company’s website says. “And minor improvements to a fundamentally flawed per stream model will not help.”

To that end, the company also lets users pick an “independent or qualifying artist” who gets $1 of their monthly subscription fee. Sure, it’s only a dollar, but it’s the kind of thing that sweetens the pot at least a little bit for musicians.

And Coda has good reason to want to make itself visible to users and artists alike. The last major differentiator for Coda is the company’s ambitions to turn its app into a social, music-sharing feed where you get recommendations from humans rather than algorithms. To that end, users can share anything from the app in their feed, and it also allows you to share external links and photos as well (go ahead and post your blurry images from that NIN concert!).

The app’s home page prominently features fan-made playlists and recommended users to follow in addition to the usual suggestions based on what you’re listening to already. And there’s a social tab where you can see posts from people you follow; share songs, artists or albums; and see posts from artists you follow. That last part is key, as Coda wants artists interacting and sharing as well as just end users.

It reminds me a little bit of the Fan Groups feature that Amazon Music just announced — and as with that feature, the problem facing Coda is getting people to start contributing to a new network rather than just posting things on whatever app they’re already using. Fortunately, music nerds love a community, so it’ll be interesting to see if this takes off at all.

As for the new features for reporting and filtering out AI music, Coda says they’re available as of today in its iOS and Android apps. The company doesn’t have a web interface yet, but says it is coming soon. If ducking AI-generated tunes is something that catches your attention, Coda currently costs $11 a month, or $17 per month for a family plan with up to four listeners.

This article originally appeared on Engadget at https://www.engadget.com/entertainment/music/new-streaming-app-coda-music-is-rolling-out-tools-for-labeling-and-blocking-ai-generated-tunes-140000530.html?src=rss

Amazon Music’s Fan Groups are a refreshingly old-school way to share and find tunes

Amazon is in the middle of rolling out Alexa+, the long-awaited, AI-infused update for its voice assistant. At the same time, the company has also been giving a fair bit of attention to Amazon Music, adding things like Alexa+ integration and AI-powered playlists. And as of today, Amazon is rolling out a new community-focused feature called Fan Groups. As the name suggests, Fan Groups are a way for users to connect around different musical interests — and what makes this more fun to me is that these aren’t limited to Amazon-curated groups.

Once Fan Groups fully rolls out, anyone will be able to create a public group in Amazon Music based around a genre, region, time period or anything else you want to focus the group on. Right now, Fan Groups are only available in Canada during a a beta period, but they’ll come to other countries (including the US) early next year. Amazon has had testers building out some Fan Groups in the meantime so that testers don’t walk into a ghost town.

When you first open the Groups tab, which will be part of Amazon Music’s bottom navigation, you’ll see a top rail with Groups you’ve joined and a scrolling list of ones you can check out. Some of the examples Amazon showed off include “K-pop Now,” “Red Dirt Americana” and “Indie Insiders,” all of which feel pretty self-explanatory. Each group includes a “featured” playlist at the top and then a scroll of posts by people who’ve joined the group.

Members can share any song, album or playlist on Amazon Music along with a comment; you can then have a discussion on the post. It’ll be familiar to anyone who has used a Facebook Group over the years. Somewhat interestingly, Amazon is also letting you share external links Beyond the “posts” view, there’s also a music-only tab that just shows everything that has been shared to the group. One of the more intriguing features in Fan Groups is the ability to just hit “play” and listen to everything that’s been shared over time — it’s something that should be good for exploration as well as just seeing if the group’s tastes are aligned with your own.

In the quick demo I saw of Fan Groups, it felt like the rare new social tool that could be useful. Music is obviously an extremely social art, one that so many love sharing with other fans. Discovery is also a huge part of being a music fan, and I appreciate the fact that Amazon is building a way to get recommendations from other human beings and not just algorithms and AI. The only issue is that getting traction for a social network built inside of a specific service isn’t the easiest thing to do — you could just as easily share music on Facebook or any number of other apps. But the potential for finding new music and sharing what you’re into with other fellow obsessives make this feature worth a look once it fully launches.

This article originally appeared on Engadget at https://www.engadget.com/amazon-musics-fan-groups-are-a-refreshingly-old-school-way-to-share-and-find-tunes-150000084.html?src=rss

Spotify introduces weekly listening stats

Spotify delivers a lot of personalized, data-driven music recommendations, and now the streaming service is adding new weekly snapshots of your listening activities. Listening stats will highlight the artists and songs that a user has heard the most over the previous four weeks and creates a playlist inspired by those selections. And according to the blog post: "Each week, it also includes a special highlight that captures what makes your listening unique, whether it’s a milestone, a new discovery, or a fan moment." That's a pretty vague introduction, and how engaging the highlights are in practice will likely depend on how much they actually surprise and delight listeners. 

It sounds like a midway point between the company's year-end Wrapped data package and its daily mix playlists. More ways to view listening data are always fun, and several competing services like Apple Music, Amazon Music and YouTube Music have already upped how often they share reports with their users. This seems to be Spotify’s move to catch up on that trend.

The listening stats will live under your profile and can be shared internally on Spotify or as an external link. The new features will be available for both free and paying listeners across 60 international markets.

This article originally appeared on Engadget at https://www.engadget.com/entertainment/music/spotify-introduces-weekly-listening-stats-140000577.html?src=rss