I need someone to write 2 Cross Platform libraries, including bindings.
THIS WILL BE NATIVE BINARY, NO JAVA, NO DOT.NET...
The first library needs to do 4 things.
1) Access the sound card, and record microphone input.
2) Save it to a file in the Ogg Vorbis, or some other compressed audio format that does not require special licensing (like MP3 does)
3) Detect vocal audio. I need to be able to tell the start and end point of each word spoken.
4) Filter out background noise. When hearing vocals, I want to be able to make them sound crisp and clear, without that hollow sounding background...or junk noises,
The second library needs to be able to play ALL OF, or just segments of the file. (Such as the segments detected with Function 3, above). What I intend to do, is save the beginning and end points in an SQLite database, and I need to be able to play JUST FROM THE START TO END POINT, of the section I choose, if I so choose to do so.
I need these libraries to work on Windows, Mac OSX, and Linux.
Winning coder must provide a complete list of exported functions, all constant names and values, as well as structures used, for BOTH libraries. Code must be well commented, and an API documentation must be provided for both of them as well.
Please note that the API commands MUST be the same for all platforms. (For code transferability)
Must allow me to set the sample rate.
Must allow for optional Dual Channel recordings.
Deliverables must include compiled, distributable libraries for all 3 platforms, and all source code used.
## Deliverables
If you can create the respective bindings for PureBasic, that is a plus...as that is the language I will be using these in the most.
However, other languages will do if need be.
Acceptable languages will be C/C++ (GCC compatable, MinGW for the windows version, whatever for the OSX version)
It is preferable that documentation and notes be provided in Open Document Format (preferably using [login to view URL])
If you cannot provide PureBasic bindings, then we will need to work out details so I, or someone else can.