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Is there any open-source code can extract content-based music features like tempo, beats, etc.?
My application scenario is like this:
A music repository which contains more than 20,000 songs
Extract features and auto-tag these songs by the "Program" which could be suggested by you.
Auto classify these songs by the tags.
The best open-source audio (waveform, etc.) tool for what you're looking for is the jAudio subset of jMIR: http://jmir.sourceforge.net/jAudio.html. The best tool that you could use for the project, though it's not open-source is free to use, is the EchoNest API. I am assuming that when you say "music" you mean audio; if it's musical scores, you could use the jSymbolic toolkit of jMIR if the data is MIDI or the .features module of my music21 toolkit if it's another format.
Echonest API is the best. I have used it a lot in my projects. I used this tutorial for learning how to use echonest http://preciselyconcise.com/apis_and_installations/echo_nest.php
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Is there any open source project or free avaliable source where I can query a webpage's category type (like https://www.trustedsource.org/en/feedback/url). I have more than 200K webpage in my dataset.
To me it looks like more of a classification problem which is suitable for Machine Learning. For this purpose you can make your model in popular ML frameworks (such as Keras/TensorFlow and PyTorch) or search for available ones on internet and use your dataset to do a transfer learning.
I could find a project on GitHub (link) that can be a good starting point.
Hi today and happy weekend!
that's interesting to know if a category is used as category pages, since google shows up multiple spots of one domain when it has category pages.
Examples:
danlok(com)
best example to see: bloomberg....
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I want to determine which part of audio file contain speech or music.
I hope someone has a made something like this or can tell me where to start.
Can you please suggest some method/tutorial for doing the same.
Thank you.
Check out the pyAudioAnalysis python library. Among others, it has a pre-trained speech-music classifier and two segmentation-classification methods (one based on fix-sized windows and another based on HMMs).
You can extract speech and music parts of an audio recording quite easily, e.g.:
from pyAudioAnalysis import audioSegmentation as aS
[flagsInd, classesAll, acc] = aS.mtFileClassification("data/scottish.wav", "data/svmSM", "svm", True, 'data/scottish.segments')
with a result as the one in this image
There's lots of prior art in this area, but I'd suggest browsing through some of Dan Ellis's papers. The slides for this talk has some good background. In short it's all down to picking the right feature vectors.
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I would like to ask you to recommend me a C/C++ library to capture video.
I am getting frames from a camera at 16 bits per pixel (RGB), and I would like to save those frames in a video format in an efficient way to be able to look at it in the future.
Would you please recommend me a good C/C++ library that I can use under Linux please?
A Google search gives me a lot of libraries, and I am really not sure which one does a good job and is widely used. I would greatly appreciate your help.
Thank you very much.
As far as I know -- the predominat library is Video4Linux -- however I have not tried it myself, but the list of applications using/supporting it is impressive.
Addition:
For Multi media Encoding GStreamer is probably one of the most used frameworks.
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I've noticed that the wiki transcriptions for some of the recent Stack Overflow Podcasts are kind of weak. Clearly, this task calls for a computer program. Is transcribing audio to text (ideally with speaker labels so we know who said what) something that could feasibly be accomplished in software? Are there any active open-source software projects attempting to implement such functionality?
Believe me, I have searched for this before. There are slim to none text to speech that are open source or free to use. From my search there weren't any free speech to text synthesizers. These things are so hard to code and expensive that they can't really be made with an open source approach. If you really need this you would have to purchase it from a company. (although I don't know any off the top of my head).
I've looked into this a little. I tried the Microsoft Speech API but got very poor results. I've been wanting to look into the CMU Sphinx project, especially the Transcriber demo.
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When making software, specially games, those resources like graphics and sounds are something "freaky" that's out of range of the developers brain and feasibility. I mean...sound effects like cool beeps: Who in the world can make them? Almost nobody of us, I guess ;)
So: Is there any good legal ressource for this kind of content, which allow to use them in Apps? How do all those developers make those cool and nice apps with nice music, nice sound and nice graphic without getting sued right away? Where do they get their high-quality contents?
Where can I get freely available audio, graphics, and other resources for games?