Estimation of instantaneous pitch provides high accuracy for frequency-modulated pitches and can be beneficial compared to conventional pitch extraction techniques for unsteady voiced sounds. However, applying an estimator of instantaneous pitch to a practical real-time speech processing application is a hard problem because of high computational cost and high inherent delay. The paper presents an algorithm for instantaneous pitch estimation specifically designed for real-time applications. The analysis scheme is based on the robust algorithm for instantaneous pitch tracking (IRAPT) featuring an efficient processing scheme and low inherent delay. The paper presents some evaluation results using synthesized and natural speech signals that illustrate actual performance of the algorithm.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.