Rationale Speech processing has been one of the main application areas of digital signal processing for several decades now, and as new technologies like voice over IP, automated call centers, voice browsing and biometrics find commercial markets, speech seems set to drive a range of new digital signal processing techniques for some time to come. This course provides not only the technical details of ubiquitous techniques like linear predictive coding, Mel frequency cepstral coefficients, Gaussian mixture models and hidden Markov models, but the rationale behind their application to speech and an understanding of speech as a signal. Objectives
- To provide students with the knowledge of basic characteristics of speech signal in relation to production and hearing of speech by humans.
- To describe basic algorithms of speech analysis common to many applications.
- To give an overview of applications (recognition, synthesis, coding) and to inform about practical aspects of speech algorithms implementation.
- To give the student practical experience with the implementation of several components of speech processing systems.
|Attachment Name||Attachment Type|
|CMP4205 Audio and Speech Signal Processing||DOC||PS|