30.3719, Diss: English; Applied Linguistics; Phonetics: Nawel Bengrait: ''The Use of Speech Analysis Software for the Teaching of English Intonation''

[The LINGUIST List]

LINGUIST List: Vol-30-3719. Wed Oct 02 2019. ISSN: 1069 - 4875.

Subject: 30.3719, Diss: English; Applied Linguistics; Phonetics: Nawel Bengrait: ''The Use of Speech Analysis Software for the Teaching of English Intonation''

Moderator: Malgorzata E. Cavar (linguist at linguistlist.org)
Student Moderator: Jeremy Coburn
Managing Editor: Becca Morris
Team: Helen Aristar-Dry, Everett Green, Sarah Robinson, Peace Han, Nils Hjortnaes, Yiwen Zhang, Julian Dietrich
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org

Homepage: http://linguistlist.org

Please support the LL editors and operation with a donation at:
           https://funddrive.linguistlist.org/donate/

Editor for this issue: Sarah Robinson <srobinson at linguistlist.org>
================================================================


Date: Wed, 02 Oct 2019 18:34:25
From: Nawel Bengrait [linguisticstoday at gmail.com]
Subject: The Use of Speech Analysis Software for the Teaching of English Intonation

 
Institution: University of Badji-Mokhtar Annaba, Algeria 
Program: Doctoral School 
Dissertation Status: Completed 
Degree Date: 2018 

Author: Nawel Bengrait

Dissertation Title: The Use of Speech Analysis Software for the Teaching of
English Intonation 

Linguistic Field(s): Applied Linguistics
                     Phonetics

Subject Language(s): English (eng)


Dissertation Director(s):
Naima Hamlaoui

Dissertation Abstract:

Speech-related technologies for the representation of prosody are increasingly
integrated in second language teaching and learning.  With the employment of
speech analysis programs Speech Analyzer and Praat, the present research
investigates the connection between the processes of EFL Algerian students’
production and perception of English intonational patterns and the extent to
which Algerian Arabic interferes in these processes. This study describes the
students’ recognition and provision of specific audio-visual feedback of the
rendered tonal categories during the third semester of second year phonetics
course, at the Department of English, University of Guelma 8 Mai 1945,
Algeria. To fulfill this objective, a Mixed Methods Research was adopted to
combine a test (N= 26), a questionnaire (N= 26), an experiment (N= 10) with
second year students, and semi-structured interviews conducted with teachers
(N= 12) of the same department. To these four main methods, a pedagogical
evaluation of signal analysis and Computer-Aided Pronunciation programs of
Pronunciation Power, Rosetta Stone, BetterAccent Tutor, RTPitch, Speech
Analyzer, and Praat has been added. The findings provide evidence that
intonation-based learning programs Speech Analyzer and Praat are beneficial in
promoting EFL learners’ comprehensibility and oral proficiency. These findings
highlight the importance of this educational tutorial that serves the intent
of our teachers and learners.

Keywords: Intonation, signal analysis software, speech audio-visualization.




------------------------------------------------------------------------------

***************************    LINGUIST List Support    ***************************
 The 2019 Fund Drive is under way! Please visit https://funddrive.linguistlist.org
  to find out how to donate and check how your university, country or discipline
     ranks in the fund drive challenges. Or go directly to the donation site:
               https://iufoundation.fundly.com/the-linguist-list-2019

                        Let's make this a short fund drive!
                Please feel free to share the link to our campaign:
                    https://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-30-3719	
----------------------------------------------------------