Loudness predicts prominence: fundamental frequency lends little.

  title={Loudness predicts prominence: fundamental frequency lends little.},
  author={Greg Kochanski and Esther Grabe and John S. Coleman and Burton S. Rosner},
  journal={The Journal of the Acoustical Society of America},
  volume={118 2},
We explored a database covering seven dialects of British and Irish English and three different styles of speech to find acoustic correlates of prominence. We built classifiers, trained the classifiers on human prominence/nonprominence judgments, and then evaluated how well they behaved. The classifiers operate on 452 ms windows centered on syllables, using different acoustic measures. By comparing the performance of classifiers based on different measures, we can learn how prominence is… 

Automatic Prominence Detection in Argentinian Spanish

Prominence is a perceptual attribute employed to communicate focus, contrasts and expressive nuances. This article ex-plores the automatic detection of segments considered prominent by native

Obtaining prominence judgments from naïve listeners - Influence of rating scales, linguistic levels and normalisation

The results show that the phonological contrast between short and long vowels is learned better with experience, and challenge both the Smooth Signal Redundancy Hypothesis and current theories of German phonology.

Acoustic cues for the classification of re

Irregular phonation serves an important communicative function. It can be a cue to linguistic contrasts, and often serves as a marker for word and utterance boundaries. Automatic methods for

An Acoustic Measure for Word Prominence in Spontaneous Speech

A comparative analysis on various acoustic features for word prominence detection and report results using a spoken dialog corpus with manually assigned prominence labels, which shows that the proposed acoustic score can discriminate between content word and function words in a statistically significant way.

Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions

This work investigates and compares several standard tilt measures on quantifying prominence in spoken Dutch and under different levels of additive noise, and compares these measures with other acoustic correlates of prominence, namely, energy, F0, and duration.

Analysis and automatic recognition of tones in mandarin chinese

An information theoretic measure to compare the relative importance (Functional Load) of phonological contrasts in any language is proposed and shows that tones are at least as important as vowels for conveying information in Mandarin.

Prosodic Representations of Prominence Classification Neural Networks and Autoencoders Using Bottleneck Features

The results show that the prosodic representations obtained from the BNFs and higher-dimensional non-BNFs provide good separation of the two prominence categories, with, however, different partitioning of the B NF space for the distinct features, and the best overall separation obtained for F0.



Fundamental frequency and perceived prominence of accented syllables

Perceived prominence differences between accented words have been accounted for in terms of fundamental frequency (F0) variations. In one theory prominence is related to the relative magnitude of F0

The perception of prosodic prominence

We say that a linguistic entity is prosodically prominent when it stands out from its environment by virtue of its prosodic characteristics. That is, we define prominence as a property of a


The ROC curves show that both transcribers grant a major role to the amplitude and duration rather than to the pitch of the vocalic nuclei, which allows around 80% primary stressed and 77% unstressed syllables to be correctly recognized in the test files of both transcribed datasets.

Spectral balance as an acoustic correlate of linguistic stress.

It is shown that the intensity differences in the higher regions are caused by an increase in physiological effort rather than by shifting formant frequencies due to stress, and duration proved the most reliable correlate of stress.

Prosodic prominence detection in speech

  • F. Tamburini
  • Physics
    Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.
  • 2003
This paper presents work in progress on the automatic detection of prosodic prominence in continuous speech with an agreement with human-tagged data comparable with the inter-human agreement reported in the literature.

The perceptual prominence of fundamental frequency peaks.

Five perception experiments were conducted that investigated how the perceived prominence of F0 maxima in accented syllables in Dutch is affected by the variation of F0 minima that is supposed to

Hierarchical Structure and Word Strength Prediction of Mandarin Prosody

An automatic learning system for Mandarin prosody is built that allows for quantitative measurements of prosodic strengths, and reveals strong alternating metrical patterns in words, and suggests that the speaker uses word strength to mark a hierarchy of sentence, clause, phrase, and word boundaries.

Intertranscriber reliability of prosodic labeling on telephone conversation using toBI

The results for phrase boundary labeling suggest that spontaneous speech of the type found in the Switchboard corpus is harder to code for the degree of disjuncture between prosodic domains than is read speech.

Stem-ML: language-independent prosody description

The model begins with soft templates for tone or accent shapes that are specified by the user or obtained by automated training, and interacts with physically and physiologically motivated constraints that model the smooth and continuous motions of the muscles that control prosody.

Spectral balance as a cue in the perception of linguistic stress.

Results of a perception experiment bear out that realistic intensity level manipulations provide stronger stress cues than uniformly distributed intensity differences, and are close in strength to duration differences.