A maximum a Posterior-based reconstruction approach to speech bandwidth expansion in noise

Hyunson Seo, Hong Goo Kang, Frank Soong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

We propose a novel bandwidth expansion algorithm for extending narrowband speech signal to wideband by exploiting segment examples pre-stored in a speaker independent database. Both narrowband and wideband representation of speech signals are pre-stored in the corpus and they are dynamically chopped into variable length segments. Narrowband segments are used dynamically to explain a given narrowband input sentence while the wideband expanded version of the input sentence is constructed correspondingly. The matching process in the narrowband favors a longer segment patch by the chosen Maximum A Posterior (MAP) criterion. As a result, the multiple choices in matching process are significantly reduced with the MAP criterion in decoding. The approach is further generalized to deal with noise corrupted narrowband input signals and the well-known Vector Taylor Series (VTS) noise adaptation algorithm is incorporated into the matching and bandwidth expansion process. A series of experiments is performed to validate the approach on both clean and noise corrupted narrowband speech where both car noise and babble noise corrupted samples are tested.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6087-6091
Number of pages5
ISBN (Print)9781479928927
DOIs
Publication statusPublished - 2014
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: 2014 May 42014 May 9

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/TerritoryItaly
CityFlorence
Period14/5/414/5/9

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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