On the Mac, it doesn't work to perform a standard VoiceOver press (VO + Space) on the item. You need to click on this in order to get the station to play, if it isn't already. You can probably get to it most easily by searching for the word shuffle. Next, there is a list of stations located visually on the left side of the window. It should be playing music if you are signed in. I can tell you how it is done visually, and hopefully it will be enough for you to figure it out, if indeed it can be done with a screen reader.įirst, you go to and make sure you're signed in. I have some vision and only use a screen reader for certain tasks, and using Pandora on my computer is not one of them. Since the website uses Flash, it doesn't work well with VoiceOver on the Mac, which is my platform. I can't tell you how to change the Shuffle settings using a screen reader. Please go to and /legal_apple for more information. You can turn off auto-renewĪt any time from your iTunes account settings. Your Pandora One subscription will automatically renew each month and your credit card will be charged through your iTunes account. No Ads everywhere you listen to Pandora.If you want the music and nothing but the music, you can also subscribe to Pandora One: Ones right from your iPhone, iPad or iPod Touch. Enjoy all your existing music and comedy stations - and create new Your car-access your free personalized radio wherever you want to hear great music. Your Pandora is the same across the web, on your TV and in Just log in and enjoy the same free radio service. Not sure where to start? Create a free account to explore hundreds of music and comedy genre stations.Īlready a Pandora listener? Even easier. Tap into an entire world of music, including almost a century of popular recordings - new and old, well known and obscure. It’s easy to create personalized stations that play only music you’ll love. Just start with the name of one of your favorite artists, songs, genres or composers and we willĭo the rest. As I was saying, Pandora Radio employs actual professional musicians for analyzing the “genes” (attributes) of all songs, and I guess the same can be done here.Great music discovery is effortless and free with Pandora. I realize audio software like Picard and other tools, are a lot more accurate in determining various features of each song, than ordinary laymen like me who don’t know how to compose songs and so on, but still, user input could be valuable too. Most users on ListenBrainz never check AcousticBrainz anyway (and AcousticBrainz entries are basically hidden among all the details in MusicBrainz entries). It would also make ListenBrainz a lot more fun if it had an open source equivalent to the Music Genome Project. That’s why I suggested that the ListenBrainz user community could do the editing of tags, genres, composers and other details and descriptions that aren’t always picked up by audio software. However, with the MGP, each song is actually analyzed by professional musicians. Yeah, AcousticBrainz is definitely similar to the Music Genome Project. This would really make ListenBrainz so much better, if we had an open source MGP-like clone to tinker around with. And given that MetaBrainz is non-profit and pro-open source, I think ListenBrainz is the perfect website target to implement the development of an open source clone of the Music Genome Project. The problem with Pandora’s MGP is that it’s proprietary, closed source and a trade secret (the music genes involved are not public), and therefore we really need an open source equivalent to the Music Genome Project. Other songs have different “features”, but this is really cool and useful in any case, for organizing music. This is part of the “genetics” of each song. On Pandora Radio, if you look up various songs, you will see descriptions like this (this is taken from Bonnie Tyler - Total Eclipse of the Heart): FEATURES OF THIS SONG Last.fm already has a similar algorithm, so that part is not exclusive for Pandora’s Music Genome Project, however, what makes the MGP stand out is the unique genetics of each song, which is really cool and nerdy. I realize it’s a lot of work to to develop such functionality, however, given that the community of ListenBrainz is relatively large, it should be possible to implement this here and let us, the users, tag and edit songs with “music genes” and describe what sort of accoustics and instruments are involved in each song, and then a few ListenBrainz developers could work on the music genetics algorithms that match similar songs.
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