eISSN: 2574-8092
Submit manuscript...
Research Article Volume 11 Issue 2
Sparsification, compression and reconstruction of speech signal data using discrete Rajan transform
Prashanthi G, Sathya G, Rajan EG
Received: September 05, 2025 | Published: October 10, 2025
Citation: Prashanthi G, Sathya G, Rajan EG. Sparsification, compression and reconstruction of speech signal data using discrete Rajan transform. Int Rob Auto J. 2025;11(2):71-80. DOI: 10.15406/iratj.2025.11.00303
Abstract
This paper introduces a novel transform called Discrete Rajan Transform, which could be used to compress speech data during the registration process. The spectrum of the voice data of a registrant is evaluated, sparsed, compressed and then stored in a database. During testing phase, the compressed spectral data is uncompressed, the corresponding original time domain voice data sequence is evaluated from the reconstructed spectrum and then subjected to the verification process. Albeit a number of discrete transforms are available, a special kind of transform called Discrete Rajan Transform (DRT) is preferred to do this job due to its generality and minimal computational complexity. The details of this approach are briefly given in this paper.
Keywords: spectrum, computation, unique matrix, equilibrium segments
©2025 Prashanthi, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.