A prosodic feature that invites back-channels in Egyptian Arabic

Author(s):  
Nigel Ward ◽  
Yaffa Al Bayyari
Author(s):  
Francesco Cangemi ◽  
Dina El Zarka ◽  
Simon Wehrle ◽  
Stefan Baumann ◽  
Martine Grice
Keyword(s):  

Author(s):  
Peter Behnstedt ◽  
Manfred Woidich

This chapter deals with the sedentary dialects of Egypt, excluding the bedouin dialects of Sinai and the Libyan bedouin dialects on the Mediterranean coast. It attempts to combine historical information on the settlement of Arabic tribes in Egypt with accounts of present-day Egyptian dialects and those of the regions from which those tribes came, initially Yemen and the Levant, later Hejaz, and then the Maghreb. The diversity of the Egyptian Arabic dialect area is partly explained by external factors, namely different layers of arabization over centuries. It is also explained by internal factors, namely dialect contact, which implies phenomena such as hyperdialectisms. Egypt is seen as a dialect area in its own right, but one that shows phenomena of a transitional area between the Arab East and West. A case study of Alexandria deals with dialect death. The role of substrata is discussed, but is considered negligible.


2022 ◽  
Vol 14 (2) ◽  
pp. 614
Author(s):  
Taniya Hasija ◽  
Virender Kadyan ◽  
Kalpna Guleria ◽  
Abdullah Alharbi ◽  
Hashem Alyami ◽  
...  

Speech recognition has been an active field of research in the last few decades since it facilitates better human–computer interaction. Native language automatic speech recognition (ASR) systems are still underdeveloped. Punjabi ASR systems are in their infancy stage because most research has been conducted only on adult speech systems; however, less work has been performed on Punjabi children’s ASR systems. This research aimed to build a prosodic feature-based automatic children speech recognition system using discriminative modeling techniques. The corpus of Punjabi children’s speech has various runtime challenges, such as acoustic variations with varying speakers’ ages. Efforts were made to implement out-domain data augmentation to overcome such issues using Tacotron-based text to a speech synthesizer. The prosodic features were extracted from Punjabi children’s speech corpus, then particular prosodic features were coupled with Mel Frequency Cepstral Coefficient (MFCC) features before being submitted to an ASR framework. The system modeling process investigated various approaches, which included Maximum Mutual Information (MMI), Boosted Maximum Mutual Information (bMMI), and feature-based Maximum Mutual Information (fMMI). The out-domain data augmentation was performed to enhance the corpus. After that, prosodic features were also extracted from the extended corpus, and experiments were conducted on both individual and integrated prosodic-based acoustic features. It was observed that the fMMI technique exhibited 20% to 25% relative improvement in word error rate compared with MMI and bMMI techniques. Further, it was enhanced using an augmented dataset and hybrid front-end features (MFCC + POV + Fo + Voice quality) with a relative improvement of 13% compared with the earlier baseline system.


2019 ◽  
Vol 8 (2) ◽  
pp. 291-309 ◽  
Author(s):  
Mahmood Yenkimaleki ◽  
Vincent J. van Heuven

Abstract The present study investigates the effect of prosodic feature awareness training on the intelligibility of speech produced by Iranian interpreter trainees. Two groups of student interpreters were formed. All were native speakers of Farsi who studied English translation and interpreting at the BA level. Participants took a pretest of speaking skills before starting the program so that their speech intelligibility level was rated. The control group listened to authentic audio tracks in English and discussed their contents, watched authentic English movies, discussed issues in the movies in pairs in the classroom. The experimental group spent part of the time on theoretical explanation of, and practical exercises with, English prosody. Students then took a posttest in speaking skills so that the effect of treatment on the intelligibility of their speech could be assessed. The results show that the prosody awareness training significantly improved the students’ speech intelligibility.


Author(s):  
Paris Binos

Vocants are precursors to speech and are facially neutral. The presence of these speechlike vocalizations was evident during the precursors to mature phonology called “protophones”. The prosodic feature of duration of the nuclei plays a crucial role in the shift of prelexical to mature speech, since speech intelligibility is closely related to the control of duration. The aim of this work is to determine whether cochlear implants (CIs) positively trigger language acquisition and the development of verbal skills. Recent literature findings are compared and discussed with the performance of two Greek congenitally hearing-impaired infants who were matched with three normal-hearing (NH) infants. This work highlighted an important weakness of the prosodic abilities of young infants with CIs.


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