BaNa: A Hybrid Approach for Noise Resilient Pitch Detection
Source: University of Rochester
Pitch is one of the essential features in many speech related applications. Although numerous pitch detection algorithms have been developed, as shown in this paper, the detection ratio in noisy environments still needs improvement. In this paper, the authors present a hybrid noise resilient pitch detection algorithm named BaNa that combines the approaches of harmonic ratios and Cepstrum analysis. A Viterbi algorithm with a cost function is used to identify the pitch value among several pitch candidates. They use an online speech database along with a noise database to evaluate the accuracy of the BaNa algorithm and several state-of-the-art pitch detection algorithms.