In this Paper, we propose an automatic speech disorders recognition technique based on both speech and visual components analysis. First, we performed the pre-processing steps required for speech recognition then we chose the Mel-frequency cepstral coefficients (MFCC's) as features representing the speech signal.On the other hand, we studied the visual components based on lipsmovements analysis...

In this Paper, we propose an automatic speech disorders recognition technique based on both speech and visual components analysis. First, we performed the pre-processing steps required for speech recognition then we chose the Mel-frequency cepstral coefficients (MFCC's) as features representing the speech signal.On the other hand, we studied the visual components based on lipsmovements analysis...

UNLABELLED Forty-two children (29 boys and 13 girls), ages 3-10 years, were referred from the caseloads of clinical speech-language pathologists for suspected childhood apraxia of speech (CAS). According to results from tests of speech and oral motor skills, 22 children met criteria for CAS, including a severely limited consonant and vowel repertoire, difficulty sequencing syllables, and incons...

objectives: one of the most effective methods to describe speech disorders is the measurement of speech intelligibility. the speech intelligibility indicates the extent of acoustic signals that correctly speaker produces and hearer receives. the purpose of this study was to investigate the speech intelligibility in the persian children with down syndrome, age range was 3 to 5 years, who had spo...

Aims: The purpose of this study is to evaluate the quality information provided by top 100 videos when searching for "speech and language disorders" on YouTube™.
 Methods: results YouTube™ search were examined using keyword “speech disorders”. was limited first videos. Modified DISCERN, Global Quality Score (GQS), Video Information Index (VIQI), Journal American Medical Association (JAMA) ...