PocketMagic

PocketMagic

Where Technology meets magic


Android
51 Posts
BlackBerry
6 Posts
Electronics
82 Posts
Hardware
139 Posts
High Voltage
56 Posts
Image processing
5 Posts
iPhone
4 Posts
Linux
2 Posts
Nuclear
26 Posts
Optics
11 Posts
Photography
7 Posts
Photoshop
3 Posts
Research
20 Posts
Reviews
18 Posts
Robotics
8 Posts
Security
9 Posts
Software
88 Posts
Symbian
2 Posts
Tubes
23 Posts
Windows Mobile
11 Posts

Sponsored Links


   

Top Articles!


Bluetooth and iOS - Use Bluetooth in your iPhone apps | 57887 Views | Rate 90.03
Bluetooth and iOS - Use Bluetooth in your iPhone apps
Simple Switched power Supplies | 59133 Views | Rate 82.24
Simple Switched power Supplies
AVR SDCard FAT support with FatFS | 16856 Views | Rate 64.58
AVR SDCard FAT support with FatFS
Programmatically Injecting Events on Android - Part 1 | 40801 Views | Rate 56.59
Programmatically Injecting Events on Android - Part 1

   

News & Updates


2014-04-15, Electric Fence Circuit for perimeter protection

2014-03-28, Infused™ project

2014-03-28, Discussing security in online on TV News show

2014-03-20, Global radiation monitoring network

 

  

Voice command recognition


By Radu Motisan Posted on September 2nd, 2008 , 1344 Views (Rate 0.65)



Voice command recognition (also referred to as "automated voice command recognition", "computer voice recognition", or in a slightly altered form "voice recognition") is the process of converting audio signals specific to the human voice into a sequence of words, using an algorithm implemented as a computer program. Next we will use the abbreviation VCR to refer to the current title.

In June 2006, I've developed such a computer software, for my master dissertation thesis.

In the first step it receives the human voice from a microphone. Next it applies a Fast Fourier Transformation on the data set recorded with the microphone. The result is that for every sound it records, it processes a sequence of numbers based on the distribution of the frequencies.
You can see this as a number based descriptor, for various audio signals.
These sequences can then be applied to a neural network for the purpose of recognizing them.

This is only the main idea, more work has been actually done to cut representative voice signals out of the continuous stream coming from the microphone. The processor cost is quite high in this phase and it needs improvement, but overall the algorithm works well.



Here is a short video with me showing this software:

Hope you like it

Radu Motisan



More on PocketMagic:

Atmega8 and enc28J60 for ethernet support | 27584 Views | Rate 43.92
Atmega8 and enc28J60 for ethernet support
Using FS1000A/XY-FST RF Radio module with AVRs | 10767 Views | Rate 40.94
Using FS1000A/XY-FST RF Radio module with AVRs
A 3D Carousel View for Android | 12323 Views | Rate 39.62
A 3D Carousel View for Android
Android Bluetooth controlled robot - Part 1 | 45684 Views | Rate 36.09
Android Bluetooth controlled robot - Part 1
How to set the AVR Fusebits | 14271 Views | Rate 35.24
How to set the AVR Fusebits
Global radiation monitoring network | 9764 Views | Rate 34.5
Global radiation monitoring network

11 Responses to “Voice command recognition”

  1. 1
    vmiguel:

    Altought not quite understanding all that is going on, it’s allways nice to put a face (and a voice), on a name! :D

  2. 2
    Radu Motisan:

    Thanks Vasco :)

    Regarding the content, I might try to port it on Windows Mobile, I still need to see how the hardware can handle it, and to get some time for this, of course.

    Also there are some additional improvements required to transform a didactic application into a commercial one.

  3. 3
    bhagat:

    by seiing the mobile its a latest content involved but it s still need to see the ore ppts and web based relating these projects

  4. 4
    bhagat:

    Thanks for giving such information but we need more information because as we are doing a project in this so we require extra ppts an some well preferred matter considering 30to 40 pages

  5. 5
    PocketMagic » Windows Mobile Tech Seminar in Lisbon:

    [...] More details on this algorithm and the PC version, can be viewed online, here. [...]

  6. 6
    bathrooms:

    Good ideas, thanks for putting this on your blog.

  7. 7
    Radu Motisan:

    Thanks

  8. 8
    want2learn:

    Hi.
    Elsewhere you have mentioned the posibility of porting your software to ATMEL microcontrollers.
    I was wondering if you have had any success in this area?

    Great work by the way,
    Jim

  9. 9
    Radu Motisan:

    Thanks Jim, I had some success but I’ve put the project on pause before completing it, because of missing time.

    I hope to be able to make a nice post about that soon.

  10. 10
    burnhard:

    Nice work. But wouldn’t it be better to port your software on a DSP since there is a lot of calculating required (Fourier Transform). With this solution you would be able to put the main intelligence on a µC board.

  11. 11
    Radu Motisan:

    Thank you. Yes, that would work.

Thank you for commenting. Your comment won't show until approved, which can take some time.

Please copy the string qFCLOr to the field below: