Related Experiment Video
Updated: Aug 11, 2026

Targeted Training of Ultrasonic Vocalizations in Aged and Parkinsonian Rats
Published on: August 8, 2011
Effect on LTAS of vocal loudness variation
Maria Nordenberg1, Johan Sundberg
1KTH Voice Research Centre, Department of Speech Music Hearing, KTH, Stockholm, Sweden.
Long-term-average spectrum (LTAS) analysis is affected by vocal loudness. This study quantifies loudness effects on LTAS, enabling more accurate voice comparisons across different recording levels.
Area of Science:
- Speech Science
- Acoustic Phonetics
- Voice Analysis
Background:
- Long-term-average spectrum (LTAS) is a valuable tool for voice analysis, assessing voice source and formant characteristics.
- LTAS contours are known to be non-uniformly influenced by vocal loudness, posing challenges for consistent analysis.
Purpose of the Study:
- To analyze the non-uniform effect of vocal loudness on LTAS contours.
- To establish a method for predicting LTAS at various loudness levels and ensure reliable voice comparisons.
Main Methods:
- 15 male and 16 female untrained subjects read a text 7 times at varying vocal loudness levels.
- Overall equivalent sound level (Leq) changes averaged 27.9 dB (female) and 28.4 dB (male).
- Spectrum level was correlated with Leq up to 4 kHz, and gain factors were calculated based on frequency.
Main Results:
- Spectrum level showed a strong, linear correlation with Leq across all subjects up to 4 kHz.
- Gain factors varied with frequency (0.5 at low frequencies to 1.5 between 1.5-3 kHz).
- LTAS contours could be predicted with 2-3 dB accuracy below 4 kHz using subject-specific gain factors.
Conclusions:
- Vocal loudness significantly impacts LTAS, but this effect can be quantified and predicted.
- Accurate LTAS comparisons are feasible if recordings encompass a range of loudness levels.
- This research provides a framework for more robust voice analysis, particularly in clinical settings like pre- and post-voice therapy assessments.
More Related Videos
09:09Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
05:48Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
Published on: August 9, 2024
Related Concept Videos
Perception of Sound Waves
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same frequency...
Sound Intensity
Sound Intensity Level
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and hence a...
Larynx
Anatomy of the Larynx
The larynx consists of various components, including cartilage, muscles, and vocal cords. Its structure includes three large unpaired cartilages—the thyroid, cricoid, and epiglottis—and three smaller paired cartilages—the arytenoids, corniculates, and...
Physical Assessment of the Respiratory Tract IV: Auscultation
Breath Sounds
Breath sounds are categorized into vesicular, bronchovesicular, and bronchial.
Applications of Logarithms