Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals

Harmonics-to-noise ratios (HNRs) are affected by general aperiodicity in voiced speech signals. To specifically reflect a signal-to-additive-noise ratio, the measurement should be insensitive to other periodicity perturbations, like jitter, shimmer, and waveform variability. The ensemble averaging t...

Full description

Bibliographic Details
Main Authors: Carlos Ferrer, Eduardo González, María E. Hernández-Díaz, Diana Torres, Anesto del Toro
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2009/784379
_version_ 1818565056355368960
author Carlos Ferrer
Eduardo González
María E. Hernández-Díaz
Diana Torres
Anesto del Toro
author_facet Carlos Ferrer
Eduardo González
María E. Hernández-Díaz
Diana Torres
Anesto del Toro
author_sort Carlos Ferrer
collection DOAJ
description Harmonics-to-noise ratios (HNRs) are affected by general aperiodicity in voiced speech signals. To specifically reflect a signal-to-additive-noise ratio, the measurement should be insensitive to other periodicity perturbations, like jitter, shimmer, and waveform variability. The ensemble averaging technique is a time-domain method which has been gradually refined in terms of its sensitivity to jitter and waveform variability and required number of pulses. In this paper, shimmer is introduced in the model of the ensemble average, and a formula is derived which allows the reduction of shimmer effects in HNR calculation. The validity of the technique is evaluated using synthetically shimmered signals, and the prerequisites (glottal pulse positions and amplitudes) are obtained by means of fully automated methods. The results demonstrate the feasibility and usefulness of the correction.
first_indexed 2024-12-14T01:36:28Z
format Article
id doaj.art-7da73e7b195a4ab3b63d92fa30943020
institution Directory Open Access Journal
issn 1687-6172
1687-6180
language English
last_indexed 2024-12-14T01:36:28Z
publishDate 2009-01-01
publisher SpringerOpen
record_format Article
series EURASIP Journal on Advances in Signal Processing
spelling doaj.art-7da73e7b195a4ab3b63d92fa309430202022-12-21T23:21:52ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802009-01-01200910.1155/2009/784379Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice SignalsCarlos FerrerEduardo GonzálezMaría E. Hernández-DíazDiana TorresAnesto del ToroHarmonics-to-noise ratios (HNRs) are affected by general aperiodicity in voiced speech signals. To specifically reflect a signal-to-additive-noise ratio, the measurement should be insensitive to other periodicity perturbations, like jitter, shimmer, and waveform variability. The ensemble averaging technique is a time-domain method which has been gradually refined in terms of its sensitivity to jitter and waveform variability and required number of pulses. In this paper, shimmer is introduced in the model of the ensemble average, and a formula is derived which allows the reduction of shimmer effects in HNR calculation. The validity of the technique is evaluated using synthetically shimmered signals, and the prerequisites (glottal pulse positions and amplitudes) are obtained by means of fully automated methods. The results demonstrate the feasibility and usefulness of the correction.http://dx.doi.org/10.1155/2009/784379
spellingShingle Carlos Ferrer
Eduardo González
María E. Hernández-Díaz
Diana Torres
Anesto del Toro
Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals
EURASIP Journal on Advances in Signal Processing
title Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals
title_full Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals
title_fullStr Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals
title_full_unstemmed Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals
title_short Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals
title_sort removing the influence of shimmer in the calculation of harmonics to noise ratios using ensemble averages in voice signals
url http://dx.doi.org/10.1155/2009/784379
work_keys_str_mv AT carlosferrer removingtheinfluenceofshimmerinthecalculationofharmonicstonoiseratiosusingensembleaveragesinvoicesignals
AT eduardogonzamp225lez removingtheinfluenceofshimmerinthecalculationofharmonicstonoiseratiosusingensembleaveragesinvoicesignals
AT maramp237aehernamp225ndezdamp237az removingtheinfluenceofshimmerinthecalculationofharmonicstonoiseratiosusingensembleaveragesinvoicesignals
AT dianatorres removingtheinfluenceofshimmerinthecalculationofharmonicstonoiseratiosusingensembleaveragesinvoicesignals
AT anestodeltoro removingtheinfluenceofshimmerinthecalculationofharmonicstonoiseratiosusingensembleaveragesinvoicesignals