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I'm working on Sbire which use google speech-api. There is a some things which I don't like with this api.
First, this is not in streaming mode. It receive small audio files but there is no real pipes.
Secondly, it's not precise. Google does not record our voice to learn our accent. I think it's very important to have a good quality of recognition.
I'm looking for a free api or an open-source tool.
Actually there is a streaming mode, but it requires an API key. Here is an example of how to use it: http://mikepultz.com/2013/07/google-speech-api-full-duplex-php-version/
If you want something that learns, you'll need to create a neural network to handle the data. The best open source tool, however, is CMUSphinx or pocketSphinx(a mini version of CMUSphinx). Here is a link to that tool: http://sourceforge.net/p/cmusphinx/code/HEAD/tree/trunk/
The best part of CMU-Sphinx, however, is that you can set a dictionary of keywords. Instead of outputting gibberish, you can have it ONLY output those commands and finds the command closest to what it thinks you are saying. This make speech recognition incredibly accurate, but only work for a small set of words.
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Is there any resource of how mysql's source code (https://github.com/mysql/mysql-server) works?
Any flow diagrams related to code's folders and files.
The official docs includes a section called MySQL Internals. There are sections included about navigating the source tree and what is where.
If you can look past his blatant towing of the company line (e.g. his apparent claims that the "real" MySQL will always be better and more awesome than MariaDB or Percona, because... Oracle!) and that he seems to imply that if you make any change to the source, you have to give those changes to Oracle and should probably send them a bunch of money, too... then there is some good material to be found in a book called Expert MySQL, which includes a decent low-level view of how it works and code snippets walking you through some source code tweaks to add new functionality.
But, there is a large amount of in-line documentation embedded in the code itself.
how "source code works"? it is in sources i guess
https://en.wikipedia.org/wiki/C_(programming_language)
https://en.wikipedia.org/wiki/C%2B%2B
https://www.google.ru/search?q=flow+diagram+mysql&newwindow=1&safe=off&espv=2&biw=1600&bih=852&tbm=isch&tbo=u&source=univ&sa=X&ved=0CBsQsARqFQoTCPXHzsTD88cCFcYlcgodYHME-w&dpr=0.9#imgrc=MrlmbXUK6VPJjM%3A
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Has anybody seen a resource covering specifically the use of machine vision for locating a human in a room, including cases where they may be partially obscured? I know about OpenCV and other machine vision packages, but I'm looking for a paper/library/code example that focuses solidly on identifying a human in a room; something that is readily integrated into code rather than being a rough idea that would require weeks or months of tweaking or enhancing to do a reasonable job of succeeding at the task. I'd prefer something that does not require binocular vision and can work with a single camera.
First: you should read this about human detection. Then you can find/use opencv code implementing the training step of this kind of detector. You will need to access to a database for training like INRIA Person dataset.
Second: if you need to handle partial obstruction, you may need to implement a human body tracker that can handle this problem. Particle filter could do the work.
If you have problems with implementation feel free to ask more specific questions.
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Good evening,
I'm working on a project with Kinect and I need to perform a gender-recognition using the voice information caught by the microphone of the sensor.
The recognition could also be text-based, i.e. the sentence said by the user could always be the same. I "just" need the binary answer male/female.
I've checked the quite popular open-source Sphinx but I can't understand if it could be used for my needs.
Any idea of what I could use?
Thanks in advance.
For sake of completeness, finally I solved the recognition task without analyzing the voice input.
Gender can be detected with an acceptable precision also by learning and then classifying visual biometric traits. I used speech recognition only as "interface" to activate the demo.
There are several ways to achieve this. You can track pitch (lower pitch values will be male, otherwise female). Or try to build a GMM (Sphinx cannot do this, but HTK can), with one model for male, other for female and another to children.
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I'm looking for an alternatives to yUML, preferably open source.
Sure yUML is great and I really like it, but I would like to be able to extend it.
I'm also interested in other services in the same direction (diagram generation), but I'm not looking for any (UML)desktop tools.
Some suggestions of textual modeling tools. For instance, take a look at PlantUML
Scruffy can draw some yUML diagrams.
Scruffy-Server is a newly made web server frontend for Scruffy which has a rendering and syntax almost identical to yUML.
At the moment it doesn't have the PDF/Json/SVG(or PS) export options, but those might be coming. On the other hand it is very fast and has a lean interface.
PS: I might a little be biased as I made it.
Perhaps take a look at jsUML2. It doesn't provide a textual syntax for specifying diagram - it provides a js-based api instead. However the api is very easy to use and it's open source so extensible. They have a demo app built using it here.
hth.
Some years ago I've developed an open source alternative based on Graphviz.
It's basic and only work for relationship diagrams, but it can be extended.
The output look is very similar to yUML.
Here's the link: http://web.fi.uba.ar/~ssantisi/works/glumly/
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Suggest me any open source based platform/IDE/framework/toolkit for developing intelligent agent. I don't have any background in this area, would like to use a tool or any tutorial in building intelligent agent.
If you don't have any background at all, I suggest you start with something simple.
I had quite a good experience with dmangame, a simple Python engine where you can script the behaviour of agents.
The good point is that the installation is very simple, you know where to code your Python scripts for AI, there is a nice API for it. And you've got a nice graphical interface to see directly what you code.
Edit : By the way, look at this similar question
Weka is probably the most comprehensive open source AI toolkit. It's positioned as a tool for "data mining" but don't let that put you of - it's a general toolset for machine learning which is exactly what you need if you want to build an intelligent agent.
You can use any IDE you like with it (it's Java based so that gives you a range of great open source IDEs such as Eclipse or Netbeans, but you can also call the Weka libraries from other languages if you like).
It also has some of its own tools build it (for visualisation and exploring data sets etc.)