• Corpus ID: 43603326

Speech Parameter Stress Rhythm Intonation Articulation Acoustic Feature Energy Speaking Rate Pitch Formants Speaking Rate Duration SDC SDC Modulation Index SDC Duration SDC Table

@inproceedings{Martnez2013SpeechPS,
  title={Speech Parameter Stress Rhythm Intonation Articulation Acoustic Feature Energy Speaking Rate Pitch Formants Speaking Rate Duration SDC SDC Modulation Index SDC Duration SDC Table},
  author={David Mart{\'i}nez and Dayana Ribas and EDUARDO LLEIDA SOLANO and Alfonso Ortega and Antonio Miguel},
  year={2013}
}
This paper investigates the efficiency of several acoustic features in classifying pervasive developmental disorders, pervasive developmental disorders not-otherwise specified, dysphasia, and a group of control patients. One of the main characteristics of these disorders is the misuse and misrecognition of prosody in daily conversations. To capture this behaviour pitch, energy, and formants are modelled in long-term intervals, and the interval duration, shifted-delta cepstral coefficients, AM… 

Figures and Tables from this paper

References

SHOWING 1-10 OF 15 REFERENCES

Speaking in shorthand - A syllable-centric perspective for understanding pronunciation variation

Perception and Production of Prosody by Speakers with Autism Spectrum Disorders

TLDR
Examination of the perception and production of a range of specific prosodic elements in an experimental protocol involving natural speech among speakers with ASD between 14 and 21 years of age revealed ceiling effects limiting interpretation of findings for some aspects of prosody.

Automatic Intonation Recognition for the Prosodic Assessment of Language-Impaired Children

TLDR
The results showed that all LIC have difficulties in reproducing intonation contours because they achieved significantly lower recognition scores than TD children on almost all studied intonations, which suggests a more pronounced pragmatic impairment in AD and PDD-NOS children.

Approaches to language identification using Gaussian mixture models and shifted delta cepstral features

TLDR
Two GMM-based approaches to language identification that use shifted delta cepstra (SDC) feature vectors to achieve LID performance comparable to that of the best phone-based systems are described.

Front-End Factor Analysis for Speaker Verification

TLDR
An extension of the previous work which proposes a new speaker representation for speaker verification, a new low-dimensional speaker- and channel-dependent space is defined using a simple factor analysis, named the total variability space because it models both speaker and channel variabilities.

The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

The INTERSPEECH 2013 Computational Paralinguistics Challenge provides for the first time a unified test-bed for Social Signals such as laughter in speech. It further introduces conflict in group

Prosody in autism spectrum disorders: a critical review.

  • J. McCannSue Peppé
  • Psychology, Medicine
    International journal of language & communication disorders
  • 2003
TLDR
It is shown that prosody in autism spectrum disorders is an under-researched area and that where research has been undertaken, findings often conflict.

Autism and specific language impairment: categorical distinction or continuum?

  • D. Bishop
  • Psychology
    Novartis Foundation symposium
  • 2003
TLDR
It is suggested that a more plausible interpretation is to regard structural and pragmatic language impairments as correlated but separable consequences of common underlying risk factors.

Detecting Replay Attacks from Far-Field Recordings on Speaker Verification Systems

TLDR
A system for detecting spoofing attacks on speaker verification systems and shows the degradation on the speaker verification performance in the presence of this kind of attack and how to use the spoofing detection to mitigate that degradation.

Automatic detection of pragmatic deficits in children with autism

TLDR
A method for automatically identifying pragmatically inappropriate language in narratives using two features related to relevance and topicality, which may prove useful in the development of automated screening tools for autism and neurodevelopmental disorders.