Speech pitch detection in noisy environment using multi-rate adaptive lossless FIR filters

In this paper a new approach to pitch detection for spontaneous speech in noisy environment is proposed. It uses multi-rate lossless FIR filter to build a model which connects acoustic tubes and wavelet transform. An "on-line" eigen-structure algorithm is used to control the parameters of the model based on the state description of the physical system and input speech signal. The pitch periods are determined by identifying the "events" from the trajectories of modeling parameters. The simulations illustrate that the proposed method features higher accuracy, more robustness to noise and the capacity of "on-line" pitch detection for synthetic and natural speech signal in comparison with other existing wavelet-based pitch detection algorithms.