In an automatic speech recognition (ASR) system, environmental mismatch between speech models and testing speech utterances causes serious performance degradation. To alleviate this environmental mismatch problem, smoothing process and weighting technique are two of the most widely used methods. In this paper, an investigation is presented into the feasibility of combining an adaptive signal limiter with a weighting technique for seeking further performance improvement in noisy speech recognition.