Implementation and analysis of speech recognition front-ends

We have developed a comprehensive front-end module integrating several signal modeling algorithms common to state-of-the-art speech recognition systems. The algorithms presented in this work include mel-frequency cepstra, perceptual linear prediction, filter bank amplitudes, and delta features. The framework for the front-end system was carefully designed to ensure simple integration into speech processing software. The modular design of the software along with an intuitive GUI provide a powerful tutorial by allowing a wide selection of algorithms. The software is written in a tutorial fashion, with a direct correlation between algorithmic lines of code and equations in the technical paper.