General Introduction of Speech Recognition

My topic is neural networks in speech recognition. Speech recognition is the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words. The recognized words can be the final results, as for applications such as commands and control, data entry, and document preparation. And neural networks is used for many different tasks in several domains and they have proved to be very efficient for learning complex input-output mappings.







A general speech recognition model is shown as below:

The block diagram of the modelinclude:

1, a signal processing module for obtaining a reprezentation of the speech signal;

2, a feature extraction module for identifying the key components of this reprezentation andeliminating redundant information;

3, time alignment and pattern matching algorithms for performing word detection;

4, language processing for selecting a final word string.

neural network is used in the 3rd step. That's just a brief introduction I will show more details in next posts.