The automatic detection of speech disorders in children: Challenges, opportunities, and preliminary results

M Shahin, U Zafar, B Ahmed - IEEE Journal of Selected Topics …, 2019 - ieeexplore.ieee.org
Given the limited accessibility to Speech and Language Pathologists (SLPs) children in
need often have, pediatric Computer-Aided Speech Therapy (CAST) tools can play an …

On the difficulties of automatic speech recognition for kindergarten-aged children

G Yeung, A Alwan - Interspeech 2018, 2018 - par.nsf.gov
Automatic speech recognition (ASR) systems for children have lagged behind in
performance when compared to adult ASR. The exact problems and evaluation methods for …

Emotion, age, and gender classification in children's speech by humans and machines

H Kaya, AA Salah, A Karpov, O Frolova… - Computer Speech & …, 2017 - Elsevier
In this article, we present the first child emotional speech corpus in Russian, called
“EmoChildRu”, collected from 3 to 7 years old children. The base corpus includes over 20 K …

Fundamental frequency feature normalization and data augmentation for child speech recognition

G Yeung, R Fan, A Alwan - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Automatic speech recognition (ASR) systems for young children are needed due to the
importance of age-appropriate educational technology. Because of the lack of publicly …

Fundamental frequency feature warping for frequency normalization and data augmentation in child automatic speech recognition

G Yeung, R Fan, A Alwan - Speech Communication, 2021 - Elsevier
Effective child automatic speech recognition (ASR) systems have become increasingly
important due to the growing use of interactive technology. Due to the lack of publicly …

[HTML][HTML] Robust speaker identification via fusion of subglottal resonances and cepstral features

J Guo, R Yang, H Arsikere, A Alwan - the Journal of the Acoustical …, 2017 - pubs.aip.org
This letter investigates the use of subglottal resonances (SGRs) for noise-robust speaker
identification (SID). It is motivated by the speaker specificity and stationarity of subglottal …

[PDF][PDF] A frequency normalization technique for kindergarten speech recognition inspired by the role of f0 in vowel perception

G Yeung, A Alwan - Interspeech 2019, 2019 - par.nsf.gov
Accurate automatic speech recognition (ASR) of kindergarten speech is particularly
important as this age group may benefit the most from voice-based educational tools. Due to …

[PDF][PDF] Speaker Verification Using Short Utterances with DNN-Based Estimation of Subglottal Acoustic Features.

J Guo, G Yeung, D Muralidharan, H Arsikere… - …, 2016 - academia.edu
Speaker verification in real-world applications sometimes deals with limited duration of
enrollment and/or test data. MFCC-based i-vector systems have defined the state-of-the-art …

[HTML][HTML] Subglottal resonances of American English speaking children

G Yeung, SM Lulich, J Guo, MS Sommers… - The Journal of the …, 2018 - pubs.aip.org
This paper presents an investigation of children's subglottal resonances (SGRs), the natural
frequencies of the tracheo-bronchial acoustic system. A total of 43 children (31 male, 12 …

Automatic Screening of Childhood Speech Sound Disorders and Detection of Associated Pronunciation Errors

M Shahin - 2023 - unsworks.unsw.edu.au
Speech disorders in children can affect their fluency and intelligibility. Delay in their
diagnosis and treatment increases the risk of social impairment and learning disabilities …