School of Speaking

Spectrographic Speech Analysis for Clinical Diagnosis

School of Speaking develops advanced software for the quantitative measurement of voice parameters such as jitter and shimmer. Our algorithms objectively map vocal cord pathologies, for the benefit of speech therapy and phonetic research in academic hospitals.

Frequency Analysis
High
Jitter (F0 Variation)
0.45%
Shimmer (Amplitude)
0.22%

Objective measurement for speech therapy and phonetic research.

Integrated into the workflow of academic hospitals.

Jitter & Shimmer: The Quantitative Basis of Vocal Fold Diagnostics

In the world of clinical phonetics, jitter and shimmer form the cornerstones of objective voice analysis. Jitter refers to the micro-variations in the fundamental frequency (Fo) of the voice, a measure of the cycle-to-cycle instability of vocal fold vibration.

Shimmer measures the same instability, but in the amplitude or loudness of the sound. Together, these parameters provide a quantitative, reproducible view of the neuromuscular control of the larynx, far beyond the human ear.

Our advanced spectrographic software isolates these parameters with clinical precision, enabling speech therapists and researchers in academic hospitals to monitor and diagnose pathologies such as vocal nodules, paralysis, or spasmodic dysphonia not only qualitatively but also quantitatively.

Read more: Spectrographic Pattern Recognition

Next post: A deep-dive into how algorithms learn to recognize pathological patterns in spectrograms.

Why choose School of Speaking?

Our specialized spectrographic speech analysis software provides objective, quantitative insights for speech therapy and phonetic research in academic hospitals.

J

Precise Jitter Measurement

Advanced algorithms measure frequency instability (jitter) with clinical accuracy, essential for diagnosing vocal cord pathologies.

S

Reliable Shimmer Analysis

Objective measurement of amplitude instability (shimmer) for a complete picture of voice quality, supported by scientific research.

V

Full Spectrum Insight

Detailed spectrographic visualizations that map the frequency spectrum for in-depth phonetic research and treatment evaluation.

K

Clinically Validated

Our software is used in academic hospitals and meets the highest standards for clinical diagnosis and speech therapy practice.

O

Objective Data

Quantitative voice parameters eliminate subjectivity and provide reproducible measurements for reliable treatment decisions.

I

Integration & Workflow

Seamless integration into existing clinical workflows with export capabilities for research data and patient reporting.

Core Capabilities of Our Software

Our advanced spectrographic analysis software provides objective measurement tools for speech therapists and phonetic researchers.

J

Jitter Analysis

Quantitative measurement of frequency instability in the voice. Identifies micro-fluctuations indicating vocal fold pathologies for accurate clinical diagnosis.

S

Shimmer Measurement

Precise analysis of amplitude instability. Provides insight into the intensity variations of the voice, essential for mapping vocal fold dysfunctions.

SP

Spectrographic Visualization

Real-time display of the frequency spectrum in a clear, waveform blue diagram. Facilitates visual interpretation of complex speech data for researchers.

RP

Clinic Reporting

Generate standardized, objective reports with measurement values. Directly usable for file building and multidisciplinary discussion in academic hospitals.

HD

High-Definition Recording Integration

Seamless connection with clinical audio recording systems. Ensures noise-free data input for the most reliable analysis results.

VA

Comparative Analysis

Track and compare voice parameters over time. Enables speech therapists to objectively monitor therapy progress or the development of a pathology.

Trusted by Specialists

Our spectrographic speech analysis software is used daily in academic hospitals and research institutions.

4.9

Average rating

"The objective measurement of jitter and shimmer has significantly improved our clinical diagnosis of vocal fold pathologies."

Dr. Eva de Vries

Clinical phonetician, UMC Amsterdam

98%

Recommendation score

Among speech therapists

"Essential for our phonetic research. The quantitative parameters provide an exceptionally clear picture of voice instability."

Prof. Mark Jansen

Head of Research, Erasmus MC

250+

Clinics

Active worldwide

"The spectrographic analysis is intuitive and reliable. It has become an indispensable tool in our practice."

Laura Meijer, MSc

Speech Therapist, St. Anna Hospital

Collaboration with Leading Institutions

UMC
Erasmus MC
Maastricht UMC+
Amsterdam UMC
Radboudumc
LUMC

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