Divriği Hospital - Medieval Healing Venue and Its Acoustic Characteristics

Divriği Great Mosque and Hospital as one of the World heritage monuments on UNESCO’s list was the subject of research. More precisely, the focus was on the architecture and the acoustic characteristics of the hospital built in 1228/1229 by Mengüjeck dynasty, a branch of Anatolian Seljuks. For the analysis purposes, a 3D model of the hospital was created, and the acoustic simulation was conducted. The results of the acoustic analysis show that the architectural characteristics of the hospital fulfill the acoustic standards for the good reception of the sound for the audience, and that it can be concluded that Divriği hospital venue supports the hypothesis of being suitable for the healing purposes. Hospital was designed to support the sound realization and to support the environmental soundscape in conjunction with the sounding makams, which supports the music therapy healing effect. It can be concluded that music therapy had acoustical support in the construction of Anatolian Seljuk hospitals, which have characteristics of concert halls and were built as acoustic (music) venues.

Acoustic characteristics of voice and speech in Arabic-speaking stuttering children

Background Using different methodologies, several researchers have reported certain acoustical and physiological differences between fluent utterances of stutterers and normally fluent speakers. The aim of this study was to determine acoustic characteristics of voice and speech in Arabic-speaking stuttering children in comparison to normal children and correlate these characteristics with stuttering severity. A sample of 80 Arabic-speaking Egyptian children (including 40 typically developing children and 40 stuttering children) in the age range 5–8 years were subjected to acoustic analysis of voice and speech using the Praat software. Results The stuttering children showed significantly higher values of jitter and shimmer in prolonged /a/ vowel sample, as compared to the normal group. This may reflect the subtle differences in laryngeal functioning or in the complex interaction among the laryngeal, respiratory, and the vocal tract systems in stuttering children. Both jitter and shimmer of prolonged /a/ vowel demonstrated significant positive moderate correlation with stuttering severity as assessed by SSI3. F0 was significantly higher in females than in males, both in normal and stuttering children. Conclusions The present study revealed significant differences in the acoustic parameters of voice and speech between Arabic-speaking stuttering children and normal children. Some of these acoustic parameters were significantly correlated with stuttering severity. Acoustic analysis can be used as simple, quick, and cheap tool for assessment of stuttering in children and might be a valuable addition to the diagnostic set for assessment of stuttering severity.

Mucosal Bridge Reconstruction: A Novel Approach for the Vocal Fold Mucosal Bridge

Introduction: Mucosal Bridges (MBs) are defined as benign connective tissue abnormalities of unclear etiology that extend over the free surface of the vocal fold, are attached to the front and back of the vocal fold but are not attached to its free surface, and are histologically covered by stratified squamous epithelium. In order to overcome these drawbacks, we aimed to retrospectively evaluate and present the preoperative and postoperative results of patients with MB, who were applied the method we call “Mucosal Bridge Reconstruction” (MBR), which we apply as suturing rather than resection of the MB. Methods: Between January 2016 and February 2020, 5 patients who applied to the voice clinic due to dysphonia and were diagnosed with MB via laryngostroboscopic examination and direct laryngoscopy under general anesthesia were included in the study. Dr Speech software was used for acoustic analysis; mean fundamental frequency (fo), jitter %, shimmer %, and noise to harmonic ratio (NHR) were objectively measured and recorded. Voice Handicap Index-10 (VHI-10) was used for positive self-reporting of the severity of vocal symptoms. GRBAS scale (G: Grade, R: Roughness, B: Breathiness, A: Asthenia, and S: Strain) was also used (by the same clinician) for clinic subjective evaluation. Results: Patient age ranged from 33 to 55 years and mean patient age was 42 years. Mean duration of symptoms was 22 months (range 16-30). Mean postoperative follow-up time was 14 months (range 6-24). Unilateral MB was observed in all patients (2 left, 3 right). There was a significant improvement in objective and subjective assessment methods in all our patients after surgery. Conclusions: According to the results of our few patients, MBR offers a physiological and anatomical approach to the treatment of patients with MB. The outcomes of delicate microlaryngeal surgery are promising.

Shared Vowels in English Loanwords in Arabic: Variation in Similarity-Based Adaptation

This paper investigates vowel adaptation in English-based loanwords by a group of Saudi Arabic speakers, concentrating exclusively on shared vowels between the two languages. It examines 5 long vowels shared by the two vowel systems in terms of vowel quality and vowel duration in loanword productions by 22 participants and checks them against the properties of the same vowels in native words. To this end, the study performs an acoustic analysis of 660 tokens (loan and native vowel sounds) through Praat to measure the first two formants (F1: vowel height and F2: vowel advancement) of each vowel sound at two temporal points of time (T1: the vowel onset and T2: the peak of the vowel) as well as a durational analysis to examine vowel length. It reports that measurements of the first two formants of vowels in native words appear to be stable during the two temporal points while values of the same vowel sounds occurring in loanwords are fluctuating from T1 to T2 and that durational differences exist between loanword vowels in comparison with vowels of native words in such a way that vowels in native words are longer in duration than the same vowels appearing in loanwords.

Vocal Acoustic Analysis

Vocal acoustic analysis is becoming a useful tool for the classification and recognition of laryngological pathologies. This technique enables a non-invasive and low-cost assessment of voice disorders, allowing a more efficient, fast, and objective diagnosis. In this work, ANN and SVM were experimented on to classify between dysphonic/control and vocal cord paralysis/control. A vector was made up of 4 jitter parameters, 4 shimmer parameters, and a harmonic to noise ratio (HNR), determined from 3 different vowels at 3 different tones, with a total of 81 features. Variable selection and dimension reduction techniques such as hierarchical clustering, multilinear regression analysis and principal component analysis (PCA) was applied. The classification between dysphonic and control was made with an accuracy of 100% for female and male groups with ANN and SVM. For the classification between vocal cords paralysis and control an accuracy of 78,9% was achieved for female group with SVM, and 81,8% for the male group with ANN.

Music Recommender System Using ChatBot

In this era of technological advances, text-based music recommendations are much needed as they will help humans relieve stress with soothing music according to their moods. In this project, we have implemented a chatbot that recommends music based on the user's text tone. By analyzing the tone of the text expressed by the user, we can identify the mood. Once the mood is identified, the application will play songs in the form of a web page based on the user's choice as well as his current mood. In our proposed system, themain goal is to reliably determine a user's mood based on their text tone with an application that can be installed on the user's desktop. In today's world, human computer interaction (HCI) plays a crucial role, and the most popular concept in HCI is recognition of emotion from text. As part of this process, the frontal view of the user's text is used to determine the mood. The extraction of text tone from the user's text is anotherimportant aspect. We have used IBM Analyser to check the text tone of the user and to predict the mood based on the text of the user, and Last.FM API to recommend songs based on themood of the user. Keywords: Introduction, Product-Architecture, Tone Analyzer, Music Classification Based on Mood, Acoustic Analysis, Experiment, Future/Current Use, Importance, Background, Literature Survey, Methodology, Equations, Planning, Tools and Technology, Conclusion.

Destabilizing effects of L2 explicit pronunciation instruction on L1 speech:

Anchored in a Complex Dynamic perspective on language development, this study explores the effects of L2 explicit pronunciation instruction on L2 English and L1 Brazilian Portuguese VOT production. To this end, 16 Brazilian intermediate users of L2 English were investigated. Volunteers were divided into control and experimental groups. The latter received explicit pronunciation instruction on the production of the English voiceless stops. The study included three data collections, a pre-test, an immediate post-test and a delayed post-test. An acoustic analysis of VOT duration is reported. The results revealed that the control group did not produce the expected VOT pattern for L2 English at any time of the study. No alterations in the L1 were reported. On the other hand, after the instruction, the experimental group produced higher L2 English VOT values. First language attrition was reported since the L1 BP VOT durations also increased after instruction. In addition to highlighting the effects of explicit instruction on L2 development and L1 attrition, this study confirms that language development is constant, and that even L1 adult grammars are not rigid, with potential to change due to the perception and processing of novel nonnative phonetic-phonological categories.

Effect of Age and Gender on Voice Onset Time: Data from Sinhalese

Objective: To documenting the voice onset time in voiced and unvoiced stop consonants in Sinhala and to investigating the effects of age and gender on voice onset time values in Sinhalese speakers. Methods: Three groups of participants were employed. Group 1 included 20 children, Group 2 included 20 adults and Group 3 consisted of 20 elderly subjects. All the subjects spoke the dialect of central province of Sri Lanka. Words consisting of three Sinhala short vowels /a/, /i/ and /u/ in were recorded. Voice onset time values from two voiced and voiceless stop consonants were extracted. Results: Voiced stop consonants had significantly longer voice onset time values compared to voiceless stop consonants. Significant effect of age as well as gender on voice onset time values were also observed. Conclusion: Supplementary investigations on the normative aspects of voice onset time among the Sinhala population would provide additional insights and validated tools for indexing the articulatory and acoustic characteristics of stop consonants in Sinhalese. Keywords: Voice Onset Time, Sinhalese, Elderly, Sinhala, Acoustic analysis