Implementation of PSOLA Algorithm for Speech Synthesis in MATLAB

In this article, we explore the source code implementation of the PSOLA (Pitch Synchronous Overlap and Add) algorithm for speech synthesis, developed within the MATLAB environment. The PSOLA algorithm represents an efficient method for speech synthesis that enables reconstruction and modification of audio signals. Implementing PSOLA requires MATLAB programming expertise and a solid understanding of the algorithm's underlying principles and functionality. The core implementation involves several key steps: pitch period detection using autocorrelation methods, segmentation of speech signals into overlapping frames synchronized with pitch periods, and overlap-add synthesis with proper windowing functions (typically Hann or Hamming windows). In the following sections, we will discuss the algorithm implementation in greater detail, providing insights into waveform manipulation techniques, parameter adjustment methods, and practical application scenarios to help readers better comprehend the algorithm's working mechanism and potential use cases in speech processing applications.