Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Fine structure spectrography and its application in speech.

Hilmi R Dajani1, Willy Wong, Hans Kunov

  • 1Institute of Biomaterials and Biomedical Engineering and the Edward S. Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Rosebrugh Building, 4 Taddle Creek Road, Toronto, Ontario M5S 3G9, Canada. h.dajani@utoronto.ca

The Journal of the Acoustical Society of America
|July 16, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluating neural encoding of prosody-related F0 changes in emotional speech using the speech FFR in normal-hearing adults.

Scientific reports·2026
Same author

Revisiting the relationship between pulse transit time and arterial stiffness.

Pflugers Archiv : European journal of physiology·2025
Same author

A method for pitch tracking in the frequency following response using harmonic amplitude summation filterbank.

JASA express letters·2025
Same author

The articulatory basis of phonological error patterns in childhood speech sound disorders.

Frontiers in human neuroscience·2025
Same author

Virtual Reality Portable Perimetry and Home Monitoring of Glaucoma: Retention and Compliance over a 2-year Period.

Ophthalmology science·2024
Same author

TORONTO: A trial-oriented multidimensional psychometric testing algorithm.

Journal of vision·2024
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026
Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026
Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

A new fine structure spectrogram algorithm offers enhanced time-varying spectral analysis. This advanced method reveals detailed signal modulations and holds potential for speech processing applications.

Area of Science:

  • Signal Processing
  • Acoustics
  • Speech Technology

Background:

  • Conventional spectrograms have limitations in resolving fine details of time-varying spectral modulations.
  • Accurate time-frequency analysis is crucial for understanding complex signals, including speech.

Purpose of the Study:

  • To introduce a novel filterbank-based algorithm for enhanced time-varying spectral analysis.
  • To demonstrate the capability of the proposed method in revealing fine spectral structure and modulations.
  • To evaluate the algorithm's performance and potential applications in speech analysis.

Main Methods:

  • Development of a filterbank-based algorithm with numerous overlapping wideband filter/detector stages.
  • Integration of a peak detector for high-resolution probing of filter outputs.

Related Experiment Videos

  • Analysis of synthetic modulated signals and speech data to assess performance and detail.

    • Main Results:

    • The proposed 'fine structure spectrogram' displays significantly higher detail of signal modulations compared to conventional spectrograms.
    • The method successfully demodulates synthetic modulated signals, illustrating its analytical power.
    • Evaluation with synthetic signals and parameters provides insights into error sources and system optimization.
    • Application to speech reveals detection of subtle frequency and amplitude modulations in formants.

    Conclusions:

    • The fine structure spectrogram is a powerful tool for detailed time-varying spectral analysis.
    • It surpasses conventional spectrograms in resolving fine modulation details.
    • The algorithm shows promise for advanced speech processing, including formant analysis and identification of novel time-frequency components.