Objectively Identify Normal Human Voice

By Lathadevi Hassan Thotappa

Acoustic analysis is used to assist differential diagnosis, documentation and evaluation of

treatment for voice disorders. Clinical data has shown that Jitter, Shimmer, Mean Pitch and

Harmonic Noise Ratio are the indices of voice pathology. A voice with some periodicity can now be

analysed with a computerised acoustic analyser, a relatively newer technique that can be widely

used in clinical practice.

Objectives: To create a database of normal voices, analyse and identify different parameters of

these voices and hence identify benchmarks of normal voices.

Materials and Methods: Voice samples of 458 normal males and 542 normal females aged between

18 to 28 years were collected using a sustained vowel /a/ which was recorded and analysed using a

freely downloadable software " PRAAT". The parameters like Jitter, Shimmer, Harmonic to Noise

Ratio and Pitch were derived and mean, SD and range of voice parameters were calculated.

Results: In males the value of parameters were mean pitch(137.05), jitter(0.011), shimmer(0.08)

and Harmonic to Noise Ratio(20.48). In females the parameters were mean pitch(234.27),

jitter(0.01), shimmer(0.08) and harmonics to noise ratio(21.73).

Conclusion: Voices can be objectively analysed using acoustic parameters like mean pitch, jitter,

shimmer and harmonic to noise ratio. A large database yields more reliable normative parameters.

Institutions should develop their own standard protocol for selection of subjects, recording of

voices and their analysis.

• Format: Paperback
• Language: English
• ISBN: 0334763797
• ISBN13: 9780334763796
• Release Date: December 2022
• Publisher: Independent Author
• Length: 78 Pages
• Weight: 0.26 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"