Pitch determination and speech segmentation using the discrete wavelet transform

Pitch determination and speech segmentation are two important parts of speech recognition and speech processing in general. This paper proposes a time-based event detection method for finding the pitch period of a speech signal. Based on the discrete wavelet transform, it detects voiced speech, which is local in frequency, and determines the pitch period. This method is computationally inexpensive and through simulations and real speech experiments we show that it is both accurate and robust to noise.