Related Experiment Video
Updated: Mar 7, 2026

09:09
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
947
Stability and Variability in Slovak Prosodic Boundaries.
1Constantine the Philosopher University, Nitra, Slovakia.
Phonetica
|February 17, 2017
Summary
Ambient noise weakens prosodic boundary cues in Slovak speech, with falls strengthening more than rises. Hyper-articulation is not uniform, showing complex, complementary prosodic patterns.
Area of Science:
- Linguistics
- Phonetics
- Speech Communication
Background:
- Prosodic boundaries convey linguistic meaning.
- Ambient noise can interfere with speech perception.
- Understanding prosodic cue adaptation in noise is crucial for communication.
Purpose of the Study:
- To analyze the effect of increasing ambient noise on Slovak prosodic boundary realization.
- To investigate how speakers adapt prosodic cues under noisy conditions.
Main Methods:
- Five native Slovak speakers produced sentences with manipulated prosodic boundaries (weak, rise, fall) and pitch accent.
- Acoustic and articulatory (electromagnetometry) data were collected.
- Varying levels of ambient noise were presented via headphones.
Main Results:
- Under normal conditions, boundary strength is marked by longer rhymes, pauses, f0 resets, and jaw displacement.
- In noise, boundary strength increase is diminished; falls strengthen more than rises.
- Fundamental frequency (f0) targets and durations are adjusted in response to noise.
Conclusions:
- Prosodic boundary hyper-articulation in noise is not robust or uniform.
- Durational, f0, and jaw displacement features interact synergistically to create prosodic patterns in noise.
- Adaptations in noise leverage existing prosodic affordances from normal speech.
Related Concept Videos
Pole and System Stability
1.1K
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
1.1K
Stability of structures
553
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
553
Stability
434
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
434
Variability: Analysis
598
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
598
BIBO stability of continuous and discrete -time systems
1.0K
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
1.0K
Constraints and Statical Determinacy
1.0K
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
1.0K

