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Yes, there are, and no, they don't work very well. Deducing information about the author from a text is sub-discipline of natural language processing - most NLP applications are about extracting information about the content of a text rather than the author, but the goals, methods and state of the art are actually rather similar (currently this favors ...


3

Well i don't believe the Arduino has the horse power to do this. its operating at 16Mhz An Arduino has about 32K of memory. Even 20 words sampled in Mp3 (smaller then wav) wouldnt fit in it, despite its only your own voice. The rasberi pi might do the trick, its operating at 700Mhz depending on the version it might have 512MB memory. That's still not a lot ...


3

The quality of speech recognition depends on many parameters: Microphone: as you noted, a headset microphone is better than the one in your laptop. Studio microphones will give the best results, I imagine. Environment: you'll have hard time making speech recognition work in a noisy environment compared to a quiet one (ideally a studio). Pronunciation: for ...


2

One way of dealing with this problem is to have a finite state machine with at least three states: not detecting anything detection phase gesture dectected Then you need to carefully design conditions for each state modification (ie going from detection phase back to "not detecting anything" in case of failure) an run them at each frame of your video ...


1

A “discriminator” is a mean to make the difference between several categories or classes of items. The “discriminative power” is a wording to refer to how effective a discriminator works and its ability to categorize correctly an item. A discriminator can be something as complex as a trained neural net, or as simple as a basic property of the data being ...


1

I have been looking into this sort of gesture-recognition for several days now. I can share the references that I think are the most useful, then I can sketch out the (incomplete) solution that I'm working on. I found a wide-ranging survey (dated 2014) of existing gesture-recognition techniques on the ACM website. (I don't know if it's free in general; I'd ...


1

Firstly, please post some images and their corresponding plots from your implementation of Hough transform. Without images and their plots, it is difficult to tell what is going on - especially since there is no source code to critique. My suspicion is that your understanding of Hough transform may not be correct. When the input is a single point in the (x, ...


1

Arduino and Raspberry Pi are prototyping boards with little chips on them. You should focus on the chip first. Look for something with a DSP (digital signal processing) toolbox, maybe you already have a DSP toolbox and don't know it. DSP toolboxes have algorithms on call like fft (fast fourier transform) and ifft (inverse fft) for fast frequency domain ...


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