SPEECH ACT «DIRECTIVE» (ENTREATY, REQUEST, DEMAND AND A THREATENING DEMAND) AS AN ILLOCUTIVE CONCEPT WITH DISTINGUISHING FEATURES

В статье представлены подтипы речевого акта «директив» - мольба, просьба, требование и требование с угрозой - как иллокутивный концепт с дифференцирующими признаками. Просодия выступает главным фактором, разграничивающим данные подтипы. Под иллокутивным концептом понимается ментальный образ, выраженный вербально словом, словосочетанием или предложением. На основе экспериментально-фонетического исследования на уровне частоты основного тона (ЧОТ) были выявлены отличительные просодические особенности мольбы, просьбы, требования и требования с угрозой. The article shows the subtypes of the speech act «directives» - entreaty, request, demand and a threatening demand - as concepts with distinguishing features. Prosody is the main factor delimiting these subtypes. One understands by an illocutionary concept a mental representation expressed orally in terms of a word, phrase or sentence. On the basis of an experimental and phonetic research at the level of pitch frequency, distinguishing features of entreaty, request, demand and a threatening demand were identified.

Optimization of Intelligent Tuning System for Stringed Instruments Based on Wireless Sensor Network

With the increasing abundance of material civilization, people’s pursuit of spiritual civilization is also higher and higher. Although tuning is the analysis and processing of sound signal, the string signal is also a kind of sound signal, which follows the basic law of acoustics. In the field of wireless sensor network, this paper introduces the status quo of tuning tools for stringed instruments, analyses the existing problems of tuning tools for mainstream stringed instruments, and puts forward an automatic tuning system based on wireless sensor network. The hardware design of intelligent tuning system based on wireless sensor network includes audio acquisition module, tuning control module driver circuit design and voice broadcast module, and network communication module selection analysis. The software design of intelligent tuning system based on wireless sensor network includes embedded software design and mobile software design. Embedded software design mainly includes system flow design and automatic tuning function design. In this paper, an improved endpoint detection algorithm is used to separate the chord tone from the nonchord tone, and an improved pitch detection algorithm is used to get the accurate pitch frequency of the chord tone signal. The function and performance of the tuning system are tested to verify the reliability of the optimized intelligent tuning system.

Music Segmentation Algorithm Based on Self-Adaptive Update of Confidence Measure

To improve the accuracy of music segmentation and enhance segmentation effect, an algorithm based on the adaptive update of confidence measure is proposed. According to the theory of compressed sensing, the music fragments are denoised, and thus the denoised signals are subjected to short-term correlation analysis. Then, the pitch frequency is extracted, and the music fragments are roughly classified by wavelet transform to realize the preprocessing of the music fragments. In order to calculate the confidence measure of the music segment, the SVM method is used, whereas the adaptive update of the confidence measure is studied using reliable data selection algorithm. The dynamic threshold notes are segmented according to the update result to realize music segmentation. Experimental results show that the recall and precision values of the algorithm reach 97.5% and 93.8%, respectively, the segmentation error rate is low, and it can achieve effective segmentation of music fragments, indicating that the algorithm is effective.

Analysis of Human Voice Spectrum based on Regional Accent in Vowels and Consonants

This study aims to analyze the spectrum of the human voice based on the accents of several regions. This research is included in the type of experimental research. Data were collected from 4 male respondents aged 23 years as research subjects. Respondents come from Central Java, East Java, Jambi, and South Sulawesi or come from Javanese, Malay, and Bugis ethnicities. Each respondent pronounces the vowels /a/ and /e/ as well as the consonants /b/, /d/, and /g/ once in each sound under normal circumstances or does not have throat problems or other things that make the sound abnormal. Voice recording is done in a closed and quiet room without any disturbance by using a microphone connected to a laptop using the cool record edit pro application. The sound spectrum was analyzed using Praat verse 2 software, then the recording was converted to *wav format. Furthermore, the sound spectrum analysis procedure uses software to determine the shape of the spectrum, the maximum or minimum pitch frequency (F0), and the formant frequency of F1-F4 in each sample. The results showed that the response of men from South Sulawesi had the highest tone of 156 Hz in the letter /b/ and 145 Hz in the letters /d/ and /g/ respectively. while the lowest tone of voice owned by men from the Jambi area is 105 Hz, 109 Hz, and 102 Hz for each consonant and the output from F0 (pitch) to F1-F4 (formant) can change and does not describe the high pitch, meaning the formant will always high.

Association Between Pitch Break on the 4-Seam Fastball and Slider and Shoulder Injury in Major League Baseball Pitchers: A Case-Control Study

Background: Few specific risk factors are known for shoulder injury in professional pitchers. New pitch-tracking data allow for risk stratification based on advanced metrics. Purpose/Hypothesis: The purpose of this study was to determine the association between shoulder injury, pitch frequency, and pitch metrics (velocity, total break, break angle, and spin rate) for the 4-seam fastball, curveball, and slider. We hypothesized that more frequent use of the 4-seam fastball would be associated with shoulder injury. Study Design: Case-control study; Level of evidence, 3. Methods: The Major League Baseball (MLB) database was queried for pitchers who had been placed on the injury list (IL) with a shoulder injury between 2015 and 2019. Injured pitchers were matched 1:1 with controls (pitchers not on the IL with a shoulder injury during the study period), based on age (±1 year), history of ulnar collateral ligament reconstruction, position (starter vs reliever), and pitches thrown during the injury season (±500). Pitch frequency, velocity, horizontal break, vertical break, total break, and spin rate for the season were collected from the Baseball Savant website for the 4-seam fastball, curveball, and slider. Univariate analysis was used to determine group differences for individual variables. Multiple logistic regression was performed to determine odds ratios (ORs) for shoulder injury associated with pitch frequency, velocity, total break, break angle, and spin rate. Covariates included age, position, ulnar collateral ligament reconstruction status, expected weighted on-base average, and total pitches thrown. Results: Overall, 233 injured pitchers were evaluated. The most common reason for IL placement was inflammation (78/233; 33.5%) followed by strain or sprain (61/233; 26.2%). Increased total pitch break was associated with an increased risk of shoulder injury for the 4-seam fastball (OR, 1.340 [95% confidence interval (CI), 1.199-1.509]; P < .001) and slider (OR, 1.360 [95% CI, 1.206-1.554]; P < .001). For the slider, a decreased spin rate (OR = 0.998 [95% CI, 0.997-0.999]; P = .026) and a more vertical break angle (OR = 1.170 [95% CI: 1.073-1.278]; P = .004) were associated with increased risk of injury. Conclusion: Increased pitch break of the 4-seam fastball and slider was associated positively with shoulder injury in MLB pitchers. These findings add to the understanding of throwing injury and ability to detect risk using ball-tracking technology.

Development of High Accuracy Classifier for the Speaker Recognition System

Speech signal is enriched with plenty of features used for biometrical recognition and other applications like gender and emotional recognition. Channel conditions manifested by background noise and reverberation are the main challenges causing feature shifts in the test and training data. In this paper, a hybrid speaker identification model for consistent speech features and high recognition accuracy is made. Features using Mel frequency spectrum coefficients (MFCC) have been improved by incorporating a pitch frequency coefficient from speech time domain analysis. In order to enhance noise immunity, we proposed a single hidden layer feed-forward neural network (FFNN) tuned by an optimized particle swarm optimization (OPSO) algorithm. The proposed model is tested using 10-fold cross-validation over different levels of Adaptive White Gaussian Noise (AWGN) (0-50 dB). A recognition accuracy of 97.83% was obtained from the proposed model in clean voice environments. However, a noisy channel is realized with lesser impact on the proposed model as compared with other baseline classifiers such as plain-FFNN, random forest (RF), K -nearest neighbour (KNN), and support vector machine (SVM).

Elephant Intrusion Warning System Using IoT and 6LoWPAN

Introduction: This work proposes an automatic IoT based elephant intrusion warning system specifically designed for detecting elephant intrusions into Krishnagiri villages that border wildlife reserves and alerting threatened communities of the location. Objective: The first one is to find the spectral energy magnitude of the elephant’s vocal communication signal and the other to determine highest pitch frequency produced by elephants. Methods: Sensors are used to identify the elephant intrusion through IoT based system. Results: This work designs an automatic IoT based elephant intrusion warning system maintainable by personnel without technical knowledge. Conclusion: The ultrasonic sensor detects the elephant’s movements and alerts the distance from the sensor to the elephant and location of the intrusion. The PIR sensor detects the elephant’s intrusion in the wildlife fences and informs to the forest officials and people.

Auditory and visual category learning in musicians and non-musicians

We compare the ability of amateur musicians and non-musicians in learning artificial auditory and visual categories that can be described as either rule-based (RB) or information-integration (II) category structures. RB categories are optimally learned using a reflective reasoning process, whereas II categories are optimally learned by integrating information from two stimulus dimensions at a reflexive, pre-decisional processing stage. Across two experiments, we found that music experience was beneficial to learning auditory categories. In Experiment 1, musicians enrolled in a music college demonstrated advantages over non-musicians in learning RB auditory categories defined on pitch frequency and duration dimensions but did not demonstrate differences in learning II auditory categories or either RB or II visual categories. In Experiment 2, a broader online sample of musicians demonstrated advantages over non-musicians in learning both RB and II auditory categories defined on spectral and temporal modulation dimensions. Musicians’ category learning advantage is limited to their modality of expertise and is category-specific in a way that depends on the dimensions used to define the categories.

Technology in a New Key: Toward a Reexamination of Musical Theory and Practice in the Zeng Hou Yi 曾侯乙 Bells

This paper takes a fresh look at music-theoretical information to be gleaned from a comparison of pitch-frequency measurements to inscriptional information from the massive bronze bell-set excavated from the tomb of Marquis Yi of Zeng and attempts to place it in the context of knowledge derived from received texts of Warring States China. After examining several textual witnesses to conceptions of music theory from that era, the paper observes how similar conceptions may have informed the inscribers of the Zeng bells, who employed a system of nomenclature that diverged in subtle yet important ways from formulations of their philosophical counterparts. The final two sections explore possible implications of the bells’ relatively unique terminology from the standpoints of scale structures and musical temperament, respectively, looking for consistent patterns of tone-to-key distributions and clues to the possible deployment of a system of intonation designed to temper the twelve-tone gamut.