ArticleFrontiers in bioengineering and biotechnology2015
Adaptive Multi-Rate Compression Effects on Vowel Analysis.
Article in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- From Microbial Consortia to Ecosystem Resilience: The Integrative Roles of Holobionts in Stress Biology.Biology · 2025Article
- Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study.JMIR biomedical engineering · 2024Article
- Euclidean Distances as measures of speaker similarity including identical twin pairs: A forensic investigation using source and filter voice characteristics.Forensic science international · 2017Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Signal processing on digitally sampled vowel sounds for the detection of pathological voices has been firmly established. This work examines compression artifacts on vowel speech samples that have been compressed using the adaptive multi-rate codec at various bit-rates. Whereas previous work has used the sensitivity of machine learning algorithm to test for accuracy, this work examines the changes in the extracted speech features themselves and thus report new findings on the usefulness of a particular feature. We believe this work will have potential impact for future research on remote monitoring as the identification and exclusion of an ill-defined speech feature that has been hitherto used, will ultimately increase the robustness of the system.
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