Vocal Acoustic Analysis – Jitter, Shimmer and HNR Parameters

João Paulo Teixeira, Carla Oliveira, Carla Lopes

Procedia Technology · 2013 · 383 citations · 6 references

DOIFull text

Open access

Concepts

TL;DR

The study presents a new procedure for automatically diagnosing laryngeal pathologies. The method uses algorithms that compute jitter and shimmer parameters (Jitta, Jitt, RAP, ppq5, Shim, SHDB, apq3, apq5) and the harmonic‑to‑noise ratio (HNR) to assess voice quality. The new procedure is non‑invasive, inexpensive, objective, and includes HNR analysis, offering advantages over traditional techniques.

Abstract

A new procedure for automatic diagnosis of pathologies of the larynx is presented. The new procedure has the advantage over other traditional techniques of being non-invasive, inexpensive and objective. The algorithms for determination of jitter and shimmer parameters by their Jitta, Jitt, RAP, ppq5 in case of jitter and Shim, SHDB, apq3 and apq5 in case of shimmer are presented. The algorithm developed and implemented for determining the HNR (Harmonic to Noise Ratio) are also presented. The developed tools allow the diagnosis that indicates whether or not the voice is pathologic.

References

6