The effects of digital filters on acoustic parameters, gender, age and emotion

Acoustic sound analysis is used for decision making process performed feature extraction from sound signal in environments such as machine, human and underwater. the pitch, formants, jitter and shimmer of acoustic parameters are mostly used in sound analysis. all frequency bands of various sound signals obtained from environments is not available for every system. the low frequency component is used for emotion detection in the human voice. in addition, sound signal must be have unwanted noise due to both form of records and environment. the desired frequency band of sound signal can be obtained, processes such as noise reduction, echo reduction and sound quality improving are realized with the help of digital filters. the purpose of this study is to investigate the effects of low-pass, high-pass and band-pass filters on acoustics parameters depending on age, gender and emotion.