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I want to make a speaker recognition system. I don’t want to make it using deep learning as perhaps it will require a lot of data. Can I implement it using audio components mentioned above or more?
In all case, you will need data learning if you want to "recognize" speakers. A classical approach is based on MFCC computation and a classification by kMeans (or more elaborate GMMs).
You'll find here an overview of the full system of the LIUM for speaker diarization (which is more sophisticated).
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What do people do when handling long audio clip(2min-5min, 44.1khz) in machine learning tasks such as music classification?
Is there any methods except downsampling that would help to reduce the dimensionality of audio data?
Usually you are extracting frequency features like spectrogram or MFCC and then you classify them. They have less values than raw audio, so they are easier to analyze.
You can find some visualizations of spectrograms and MFCC here (related to speech, but scales):
https://www.kaggle.com/davids1992/speech-visualization-and-exploration
Note that pooling somehow reduces dimensionality of data in CNN.
So find about spectral analysis. You are rarely working with raw waves, although they are starting to work also, like WaveNet:
https://deepmind.com/blog/wavenet-generative-model-raw-audio/
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What are applications where search techniques or more specifically planning techniques are used? I am most interested in examples in use.
I know that A* is used for path planning in Robotics, that planning is used in logistics (details would be great) but what other usages are there?
For Search in general Google, etc come to mind with their inverted indices. Again, where else is it used?
For planning examples, including logistics challenges, take a look at this list. Each use case comes with multiple datasets and a problem definition.
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I am wondering how you would code an image vectorization program, al la vectormagic.com? Where would you even begin and would it be possible to create in any web based programming languages?
Behind vectorization programs are complex algorithms (for basic outline look on quite nice paper depixelizing pixel art by guys at Microsoft).
Anyway, it's possible to write almost in any language, that can process images, but those complex algorithms are pretty system resources expensive. So web based languages are quite inappropriate for that type of task.
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What is another way to play sounds in Win RT instead of using Media Element? I'd like to play some "play-and-forget" sounds.
You can have multiple MediaElements or you can use XAudio2 or WASAPI, but multiple MediaElements is possibly the easiest way. Just track which one is done playing so you can reuse it.
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What are the effects of multiplication of two different sound? An neither of them are constant, like two different songs, or one track of instrumental and one of vocals.
A simple Google search came up with this:
http://crca.ucsd.edu/~msp/techniques/v0.11/book-html/node77.html
Did you search for it at all?
But basically what happens is you end up creating an envelope where the second acts as a "coefficient" of sorts.
You also end up with a reduction of sound levels (since a decimal times a decimal is less both of them), so you'll need to amplify the signal a bit to retain volume.
The page I linked gives a lot more explanation and has a lot of the algebra needed to write up a code to implement it. Look there if you have any more questions.