scholarly journals Synchronising Speech Segments with Musical Beats in Mandarin and English Singing

Author(s):  
Cong Zhang ◽  
Jian Zhu
Keyword(s):  
2012 ◽  
Vol 34 (6) ◽  
pp. 1404-1407 ◽  
Author(s):  
Yan-xiong Li ◽  
Yong Wu ◽  
Qian-hua He

2008 ◽  
Author(s):  
Soheil Shafiee ◽  
Farshad Almasganj ◽  
Ayyoob Jafari

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Nahla Abd-ElAziz Rifaie ◽  
Dina Ahmed Elrefaie ◽  
Mona Mosaad Mahmoud

Abstract Background Speech sound disorder is a communication disorder in which children have persistent difficulty saying words or sounds correctly. It refers to any difficulty or combination of difficulties with perception, motor production, or phonological representation of speech sounds and speech segments. Aim of the Work to construct an Arabic auditory bombardment therapy program and measure its effectiveness in treatment of functional speech sound disorder. Subjects and Methods This study was applied on 60 participants divided into 2 groups (30 for each group) with age ranging from 3-5 years diagnosed with functional speech sound disorder with or without language disorders, attending at the Phoniatrics outpatient clinic in Ain Shams University Hospitals. The test for identification of phonological processes was applied on 60 patients with speech sound disorder selected to participate in this study. These were divided in to 2 groups (Group (1) received only the conventional therapy while group (2) received auditory bombardment in addition to the conventional therapy for 3 months) and the test was repeated again after therapy. Results Group (2) showed high significant difference (improvement) in consonant assimilation, voicing change, final consonant deletion, palatal fronting, gliding, lateralization and glottal replacement while group (1) showed high significant difference (improvement) in syllable deletion and partial cluster reduction. Conclusion The present study showed that application of auditory bombardment therapy program in addition to conventional therapy has high significant improvement than conventional therapy alone.


2002 ◽  
Vol 23 (3) ◽  
pp. 163-165 ◽  
Author(s):  
Ryo Komaki ◽  
Reiko Akahane-Yamada ◽  
Shigeru Katagiri

2017 ◽  
Vol 68 (2) ◽  
pp. 346-354
Author(s):  
Ján Staš ◽  
Daniel Hládek ◽  
Peter Viszlay ◽  
Tomáš Koctúr

Abstract This paper describes a new Slovak speech recognition dedicated corpus built from TEDx talks and Jump Slovakia lectures. The proposed speech database consists of 220 talks and lectures in total duration of about 58 hours. Annotated speech database was generated automatically in an unsupervised manner by using acoustic speech segmentation based on principal component analysis and automatic speech transcription using two complementary speech recognition systems. The evaluation data consisting of 50 manually annotated talks and lectures in total duration of about 12 hours, has been created for evaluation of the quality of Slovak speech recognition. By unsupervised automatic annotation of TEDx talks and Jump Slovakia lectures we have obtained 21.26% of new speech segments with approximately 9.44% word error rate, suitable for retraining or adaptation of acoustic models trained beforehand.


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