Representations, Approximations, and Algorithms for Mathematical Speech Processing
Abstract
Representing speech signals such that specific characteristics of speech are included is essential in many Air Force and DoD signal processing applications. A mathematical construct called a frame is presented which captures the important time-varying characteristic of speech. Roughly speaking, frames generalize the idea of an orthogonal basis in a Hilbert space, Specific spaces applicable to speech are L_2(R) and the Hardy spaces H_p(D) for p> 1 where D is the unit disk in the complex plane. Results are given for representations in the Hardy spaces involving Carleson's inequalities (and its extensions), frames and hybrid frames, as well as L_2(R). Examples of different speech signals are given and the representations via frames are applied to demonstrate its robustness and adaptiveness, while using very few coefficients in the approximation. Thus, the processing, transmitting and storing of speech data could be compressed or reduced and still keep the fidelity of the signal.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 16, 1998
- Accession Number
- ADA348548
Entities
People
- Laura R. Suzuki
Organizations
- Air Force Institute of Technology