Where do I download the latest jar files for v4 version?
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API Key not working
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Limit tracks per artist in a track search
Is it possible to limit the number of times an artist appears in a track search using the Echo Nest API? A lot of my search combinations return a large number of tracks by the same artist whereas I'd like to perform a search that returns as much new artist discovery as possible.
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Streaming Capsule-ish Remix Project
I'm an artist and web developer based out of Pensacola, Florida looking for a developer who can assist in a Remix project that involves dynamically appending segments of the "longest pop song in the world" (currently 3.5 hours, and increasing) to be publicly accessed via a web application.
Have found some promising leads in ForeverFM (http://blog.petersobot.com/introducing-forever-fm), but am new to Python and my background (php, css, html, etc) does not include extensive or advanced programming.
So we are looking to hire someone, ideally in a co-development or mentoring capacity who will:
- Help make key method and framework decisions
- Handle programming that is beyond my capacity
The songwriter is http://en.wikipedia.org/wiki/Chris_Butler_%28musician%29 and everybody on the team is pretty laid back.
mike@mZoo.org
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Total count of song/search results
Hi Noel
take a look at artist bucket value 'doc_counts'
doc_counts: returns document counts for each of the various artist document types
audio: "0"
biographies: "7"
blogs: "2877"
images: "167"
news: "913"
reviews: "20"
songs: "58"
video: "468"this should give you the values required to create pagination etc..
at0m
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Is there a way to find if song is heavy metal using Track Analysis
Hi - I am trying to differentiate a song that has a lot of drums vs another which has very light drums. What is the best attribute in TrackAnalysis to use this? Say I have 2 songs like "Smoke on the Water" and "Someone like You". Is there anything in beats that will differentiate the two?
Thanks, Mita
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Total count of song/search results
Hello Noel, you'r project interesting me, can i contact you by pm? thanks!
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Using Echonest to Analyze a Set of Salsa Songs
Salsa! Hecor LaVoe, Willie Colon? Echonest returns most of those details, with varying degrees of accuracy and it would not be terribly difficult to loop through a list of tracks in a directory and create a spreadsheet.
But I don't know of a solution that wouldn't require a little bit of coding and installing an echonest library.
Hit me up mike@mZoo.org and maybe I can help.
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Do LocalAudioFile objects contain PCM data?
I'd like to try using the module https://gist.github.com/psobot/2387349 in conjunction with remix.
Do LocalAudioFile objects contain PCM data?
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Warning: no metadata returned for track. 'Track' object has no attribute
Think that ultimate reason for this issue was that an older version of remix was being installed.
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Instrumentalness, Speechiness, and Identifying Instrumentals
I noticed a new audio_summary data point called Instrumentalness and took a quick look through the songs I have and I'm getting results that don't make sense. That is, they don't make sense if I assume that "instrumentalness" is a measure of how likely a song is to be an instrumental with no spoken words.
But I'm finding a mix with that thought. For instance Dave Brubeck's Take Five has an instrumentalness of 0.001 and Yes's Cans and Brahms has an instrumentalness of 0.943. Respectively, they have a speechiness of 0.037 and 0.044.
And then there's Argent's Hold Your Head Up - which is full of lyrics and definitely not an instrumental - which comes in with a speechiness of 0.023.
I have ~200 songs that I have tagged as Instrumentals, so I am 98% certain that every single one is indeed and instrumental. Checking them all, the highest Speechiness is 0.29, which makes me think that Speechiness is an excellent indicator. Instrumentalness is all over the map with these, ranging from 0.0001 to 0.974, and well distributed across the range. But checking other songs, I'm finding many non-instrumentals with very low Speechiness, like 0.023.
Can anyone shed any light on this? Or suggest a better way of identifying instrumentals?
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Instrumentalness, Speechiness, and Identifying Instrumentals
Another check shows that less than 2% of my songs have a Speechiness over 0.3, so Speechiness doesn't seem to be a great thing to use to identify instrumentals.
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Limit tracks per artist in a track search
There's no direct way, but you may want to try using the playlist API instead, since it has many of the same capabilities of song/search while limiting song and artist dups -- Paul
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Artist search "results" and "start" parameters not working
Hello,
Has there been any progress on this? Is there a way I can work around this problem to paginate correctly?
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Artist search "results" and "start" parameters not working
Hi Noahsimon. This is indeed a bug, but we're still figuring out the best way to address it. I can't promise when a fix will be available.
Can you say more about what you're trying to do? (Why do you want to search for a name and page through all matching results?)
-Eli
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how to know in which second in the track user started detection ?
i search in the api for a while but didn't get a clear answer
how to know in which second (min whatever ) in the track user started detecting ?
for example if the track is 5 mins
what i want to do :
user 1 started detected (bellie jean) track in sec 133 of the whole 240 sec track
user 2 started detected (you rock my world) track in sec 200 of the whole 240 sec track
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Instrumentalness, Speechiness, and Identifying Instrumentals
Scottes,
Your guess at the meaning of "instrumentalness" is correct. Glad the name was obvious enough!
The first thing to keep in mind is that instrumentalness is what we call an "alpha" attribute. That's why it was not announced. We include it in the API so we can widen the exposure and the kinds of experiments we can conduct, but we are not 100% happy with the accuracy yet. We know there are a number of cases where it doesn't line up. (There's no need to report specific examples at this time. We have plenty we are looking at!) But we felt like it was interesting enough to let you experiment.
Second, instrumentalness and speechiness are not opposites. They estimate different things. Speechiness indicates the likelihood the track contains spoken words. Sung vocals are not speech. A track that is not instrumental is not necessarily "speech". Tracks with singing have low speechiness AND low instrumentalness, whereas rap tracks could have low instrumentalness and MEDIUM speechiness. High speechiness tracks should PROBABLY have low instrumentalness, but we don't correlate the two attributes, so you should not make this assumption.
Hope this helps!
-David
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Instrumentalness, Speechiness, and Identifying Instrumentals
I kinda figured that Intrumentalness was alpha. And many thanks for the explanation of Speechiness. I just assumed that singing would fall into this because you don't have Singingness. :-)
Let me know if you want an outsider to check Instrumentalness when it has come along. For several years I've been looking for a way to automatically (within reason) identify likely instrumental songs.
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Is there a way to find if song is heavy metal using Track Analysis
Mita,
While there will certainly be differences in analysis between those two specific tracks, finding a model that predicts heavy metal or acoustic similarity in the general case is a much harder problem that requires quite a bit of data and (probably) machine learning. But we encourage you to experiment and let us know what you find!
-DD
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Seattle Artists Location Categorization
Wow, no response. While the band I mentioned has had their location removed the problem still persists with others.
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Seattle Artists Location Categorization
Hi benobee. Thanks for pointing this out, and we'll take a look.
-Eli
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