Creating a database of audio recordings with artificial noise in an anechoic chamber

This bachelor thesis deals with theory of creating the database of sound records and subsequent creating the database of speech records in the anechoic chamber. Database was created as training dataset for learning process of the artificial neural network, which will be able to separate the speech from background noise. Therefore as the part of the database there are also the recordings of various types of noise that will be used as background noise for the voice recordings. The dataset contains records taken from 18 speakers aged from 16 to 76 years. Half of the speakers were men, half women. Database contains 405 records of speach of average length 46,7 secons and total length 315 minutes. By combining each speech record with each noise record at three levels of signal-to-noise ratio was created 7290 mixed records