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 Concept Videos

Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).

You might also read

Related Articles

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

Sort by
Same author

Livebirth rates are influenced by an interaction between male and female partners' age: analysis of 59 951 fresh IVF/ICSI cycles with and without male infertility.

Human reproduction (Oxford, England)·2024
Same author

Hoffman myopathy and hypothyroidism.

QJM : monthly journal of the Association of Physicians·2022
Same author

The thalamic hand: an enigmatic sequela of thalamic stroke.

QJM : monthly journal of the Association of Physicians·2022
Same author

Accumulation of embryos over 3 natural modified IVF (ICSI) cycles followed by transfer to improve the outcome of poor responders.

Facts, views & vision in ObGyn·2019
Same author

Hemospermia.

Indian journal of dermatology and venereology·2017
Same author

Penicillin Resistant Gonorrhoea.

Indian journal of dermatology and venereology·2017
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: May 23, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Maximum likelihood methods in vowel recognition: a comparative study.

A K Datta1, N R Ganguli, S Ray

  • 1Electronics and Communication Sciences Unit, Indian Statistical Institute, Calcutta 700035, India.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|April 14, 2012
PubMed
Summary
This summary is machine-generated.

This study simplifies vowel classification by using a generalized maximum likelihood ratio method. Two assumptions reduce computation time by fivefold with minimal impact on recognition accuracy.

More Related Videos

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization (USV) Songs
08:44

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization (USV) Songs

Published on: May 9, 2017

Related Experiment Videos

Last Updated: May 23, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization (USV) Songs
08:44

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization (USV) Songs

Published on: May 9, 2017

Area of Science:

  • Speech processing
  • Acoustic phonetics
  • Machine learning for speech recognition

Background:

  • Vowel classification is crucial for speech recognition systems.
  • Generalized maximum likelihood ratio methods offer a robust approach.
  • Computational efficiency is a key challenge in real-time speech processing.

Purpose of the Study:

  • To investigate vowel classification accuracy using a generalized maximum likelihood ratio method.
  • To identify simplifying assumptions that reduce computational load without sacrificing accuracy.
  • To analyze the performance of vowel recognition across different phonetic contexts and speaker variations.

Main Methods:

  • Utilized a generalized maximum likelihood ratio method for vowel classification.
  • Implemented two simplifying assumptions: removal of cross-correlation terms and adoption of an Euclidean distance discriminant function.
  • Analyzed vowels from 350 multisyllabic isolated words spoken by five male speakers.

Main Results:

  • Achieved an overall vowel recognition accuracy of 83 percent.
  • The simplifying assumptions reduced computation time by a factor of five with negligible impact on accuracy.
  • High back and high front vowels demonstrated superior recognition rates (92-94 percent).
  • Recognition performance correlated with the standard vowel diagram and the distribution in the F1-F2 plane.

Conclusions:

  • The proposed simplifications offer a computationally efficient yet accurate method for vowel classification.
  • Specific vowel categories exhibit inherent differences in recognition performance.
  • The findings provide insights into the acoustic correlates of vowel perception and recognition.