Referring to the whispering voice signal, it is known that this kind of signal is capable of carrying the same information of a normal voice signal. Since this is information acquirement can be done by the human ear, it is very interesting the studies oriented on this field which opens not only commercial use of this new tools but also can improve our life in many ways, including disabled people.
This research centres its efforts on developing a signal processing application, not a signal recognising application. As it will be explained in following sections, prior to this research it is well known that exist researches regarding to acoustic-contaminated voice signal processing, but this processing is oriented to recognising the voice carrying information and process it in a valid digital format, such as plain text. Of course it is also possible to achieve our research goal by using these existing tools in a speech to text, and text to speech conversion. The problem that throws out this procedure is its resource weight and the fact that we are converting an analogical signal into digital data and then this digital data into analogical again, and being both input and output analogical signals, it looks like no sense processing digital data during the process. This is where relies the importance of this research, generating a process that, without taking into account the content or meaning of the input signal processed, it outputs a treated output signal generated from the input signal.
On the commercial field there can be developed many useful tools in many devices such as portable ones. It is well known that such kind of devices requires on all including application to be light-weighted by means of requiring few resources to work properly. This fits perfectly on the primary idea of this research, due to it is a light-weight application it can be developed with non significant extra cost on many portable devices like cell-phones, PDA, etc. In many cases, since this research generated a mathematical model for the whispering voice signal process, an only-software tool can be developed on many platforms that perform the desired processing, making the cost of adding this tool to any device merely null. But, even this fact is out of the scope of this research, note it is recommended to hardware the model to obtain an optimal performance.
On the other side this research opens a large range of solutions for problems coming from disabled people. For example, generating a pseudo-real-voice from a whispered voice signal as input shows that processing directly the signal an acceptable result can be obtained, and with this further researches can be made on other kind of voice signals, such as people with chronicle diseases or irreversible injures on his voice organs. Also in this case, the adding to portable devices option is very suitable, using this technology as part of the normal life, but also the stand alone device is very interesting for disabled.
These details are provided for information only. No information here is legal advice and should not be used as such.