Time-frequency voiced and unvoiced excitation models for harmonic speech systems
DOI:
https://doi.org/10.14209/jcis.2014.6Keywords:
speech analysis, speech coding, sparse representations, modulation transform, time-frequency analysis, voiced-unvoiced decisionAbstract
Time-frequency voiced and unvoiced models are proposed for the excitation of a harmonic autoregressive wideband speech analysis-synthesis system. The time-frequency voiced excitation (TFVEX) model has low time resolution defined by the concentration of the excitation signal distribution in the modulation domain while the time-frequency unvoiced excitation (TFUNEX) model has cycle time discrimination with lower amplitude resolution and while the frequency resolution for both models is an octave. The speech reconstructed by the compound TFUVEX unvoiced-voiced model is rated above the speech degraded by a modulated noise reference unit (MNRU) at 25 dB in listening tests while yielding a parametric compression of over ten times.Downloads
Download data is not yet available.
Downloads
Published
2014-12-01
How to Cite
Arjona Ramírez, M. (2014). Time-frequency voiced and unvoiced excitation models for harmonic speech systems. Journal of Communication and Information Systems, 29(1). https://doi.org/10.14209/jcis.2014.6
Issue
Section
Regular Papers
License
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
___________
Received 2012-09-28
Accepted 2014-11-28
Published 2014-12-01
Accepted 2014-11-28
Published 2014-12-01