Speech enhancement based on L1regularization in the cepstral domain

Tak Wai Shen, Pak Kong Lun

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


In this paper, a new speech enhancement algorithm using the L1regularization method in the cepstral domain is proposed. Since voiced speeches have a quasi-periodic nature that allows them to be compactly represented in the cepstral domain, the L1regularization technique can be applied to better control the optimization process required in speech enhancement applications. The proposed algorithm starts with the traditional temporal cepstral smoothing (TCS) method which gives the initial estimation of the power spectrum of the clean speech. It is then refined using a modified L1regularizer which imposes further constraint to the penalty function based on the feature of speech signals in the cepstral domain. A notable improvement of the proposed algorithm over the traditional method is its adaptability to the non-stationary noise. Performance of the proposed algorithm is evaluated using standard measures such as segSNR and PESQ based on a large quantity of speech signals. Our results show that a significant improvement is achieved as compared to the conventional approaches especially in the case that the noise is non-stationary.
Original languageEnglish
Title of host publication2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
Number of pages4
ISBN (Print)9781479934324
Publication statusPublished - 1 Jan 2014
Event2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia
Duration: 1 Jun 20145 Jun 2014


Conference2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
CityMelbourne, VIC


  • cepstral analysis
  • Speech enhancement

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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