The investigation of some well known noise estimation techniques is presented. The estimated noise is applied in our noise suppression system that is generally used for speech recognition tasks. Moreover, the algorithms are developed to take part in front-end of Distributed Speech Recognition (DSR). Therefore we have proposed some modifications of noise estimation techniques that are quickly adaptable on varying noise and do not need so much information from past segments. We also minimized the algorithmic delay. The robustness of proposed algorithms were tested under several noisy conditions.