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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Characterizing Acoustic Energy Distribution in English: A Quantitative Analysis of Intensity Dynamics in Connected Speech

Authors: Sattouf, Abdurrahman;

Characterizing Acoustic Energy Distribution in English: A Quantitative Analysis of Intensity Dynamics in Connected Speech

Abstract

This research provides a quantitative characterization of acoustic energy distribution within English speech signals. By using a curated subset of the LibriSpeech corpus (dev-clean), the study analyzes 100 high-fidelity audio samples from 10 distinct speakers to establish a normative profile of vocal intensity. In the context of this research, the analysis focuses on the relationship between global acoustic stability and individual dynamic variance. As we can see, results indicate a highly stable global mean intensity (≈ 69.7 dB), while revealing significant inter-speaker heterogeneity in dynamic range and prosodic modulation. Moreover, this study provides essential baseline data for researchers in acoustic phonetics, speech signal processing, and bio-acoustic modeling.

Keywords

Acoustic Phonetics, Intensity Dynamics, Bio-acoustics, LibriSpeech, Connected Speech, Quantitative Analysis, Normative Baselines, Speech Signal Processing.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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