Lyrics Data Research Articles

Kritik Sosial Dalam Lirik Lagu (Analisis Wacana Lagu Maju Dari .Feast)

Feast is a band that expresses social criticism through songs. Idealism in music, the use of words that contain figures of speech, and the themes presented make the author use the lyrics of the song "Maju" by the band .Feast as a study in this research. The method used in this research is qualitative method. The aim of this research is to find out the meaning of social criticism in the song "Maju" using Teun A. Van Dijk's approach. Critical discourse analysis using Teun A. van Dijk's approach model includes text dimensions, social cognition dimensions, and social context dimensions. The text dimension will analyze macro structure, superstructure and micro structure, then discuss it in the social cognition dimension and social context dimension to find the meaning of social criticism in the lyrics of the song "Maju". Analysis of song lyric data was carried out to describe the meaning of social criticism in the lyrics of the song "Maju" by .Feast. The results of this research show that there is social criticism in the lyrics of the song "Maju" sung by . survive and fight to the last drop of blood to defend the sovereignty of the Republic of Indonesia. Courage is something that must be instilled in every human being and defending the rights that belong to us is a must.

Analysis of Tense Selection in Heaven’s Song Lyric by Calum Scott and Lyodra Ginting

This study aims to determine the type of tense used in the lyrics of the song “Heaven” by Lyodra Ginting and Calum Scott. The research method used in this study is a qualitative descriptive research method. The data used in this study came from the lyrics of the song “Heaven,” which Calum Scott wrote and sang by himself and Lyodra Ginting. The researcher uses the theory of grammar and style in Stylistics to analyze the tenses selection in the song lyrics data. The study results show that this song’s lyrics predominantly use the simple present tense, and the rest use the present continuous tense, present perfect continuous tense, simple past tense, past continuous tense, and past future tense. There are reasons behind the songwriter’s tense selection. The tense in the song is dominated by simple present tense to express a habitual use indicating a generalization over a set of times. 
 Keywords: Calum Scott; Heaven; Lyodra Ginting; Stylistics; Tense Selection; Song Lyrics

Multimodal music emotion recognition in Indonesian songs based on CNN-LSTM, XLNet transformers

Music carries emotional information and allows the listener to feel the emotions contained in the music. This study proposes a multimodal music emotion recognition (MER) system using Indonesian song and lyrics data. In the proposed multimodal system, the audio data will use the mel spectrogram feature, and the lyrics feature will be extracted by going through the tokenizing process from XLNet. Convolutional long short term memory network (CNN-LSTM) performs the audio classification task, while XLNet transformers performs the lyrics classification task. The outputs of the two classification tasks are probability weight and actual prediction with the value of positive, neutral, and negative emotions, which are then combined using the stacking ensemble method. The combined output will be trained into an artificial neural network (ANN) model to get the best probability weight output. The multimodal system achieves the best performance with an accuracy of 80.56%. The results showed that the multimodal method of recognizing musical emotions gave better performance than the single modal method. In addition, hyperparameter tuning can affect the performance of multimodal systems.

Struktur Topik-Komen dalam Lirik Lagu Shounen to Mahou no Robotto

This study aims to describe the topic-comment structure in the discourse of the lyrics of the song Shounen to Mahou no Robotto. The method used in data collection is the free-to-talk method, while for the study of data, the method used is the distributional method. The data is taken from the discourse of the lyrics of the song Shounen to Mahou no Robotto. A distributional study method is used at the data analysis stage, which uses a determining tool for language elements. From the results of the research, most of the topics found in the form of subjects that were topicalized with the topic particle marker wa, but topics can also be stated by moving elements that are not subjected to the beginning of the sentence, even though the particle wa does not mark them. Topicalization can occur in single or compound sentences. In compound sentences, the same topic can be used in both clauses, or the two clauses can have different topics. This study found more topicalization data without wa particle markers than previous studies, indicating the characteristics of song lyrics data that used language more flexibly than written data sources.

Song authorship attribution: a lyrics and rhyme based approach

In this work, we apply authorship attribution to a large-scale corpus of song lyrics. As a sub-category of poetry, song lyrics embody cultural elements as well as stylistic attributes that are not present in prose. We draw attention to special characteristics such as repetitive sound patterns and rhyme based structures in lyrics that can be key to ownership, and present opportunities that cannot be employed for authorship attribution of other types of text such as tweets, emails, and blog posts. We first create a new balanced, large-scale data set of 12,000 song lyrics from 120 different artists. We propose CNN models for authorship attribution on this song lyric data set, in order to use structural information included in the lyrics, similarly to image classification. We conduct experiments at the character and sub-word levels that mostly reflect positional information. In addition, we use phoneme level features, which intrinsically involve attributes such as repetitions, rhyme, and meter, and represent elements unique to verse-based textual compositions. We attempt to discover idiosyncratic features and consequently author and genre associations by working with variants of CNN architectures that have been successfully used in other text classification domains. Our architecture choice results in a particular focus on lyric attributes residing in neighboring regions, since CNNs fail to apprehend long term textual dependencies. Finally, we empirically evaluate our results in comparison with the findings of previous test classification research from different domains.

Two-channel Attention Mechanism Fusion Model of Stock Price Prediction Based on CNN-LSTM

Using hierarchical CNN, the company's multiple news is characterized as three levels: sentence vectors, chapter vectors, and enterprise sentiment vectors. By combining the stock price data with the news lyric data at the same time, the influence of news on price is used to achieve correlation analysis of news information and stock prices. A two-channel attention mechanism fusion model based on CNN-LSTM is proposed. After the dual-channel feature extraction, the attention layer fusion layer is used to convert the weighted values of LSTM hidden variables, so the stock price can be predicted with the news text.

Plastic Surgery and Music: Examining Plastic Surgery References in Hit Songs.

SUMMARYThe purpose of this study was to assess the frequency by which plastic surgery-related terms have been included in the lyrics of Western music hits from the 1970s to the present day as a proxy for estimating the cultural impact of plastic surgery. A list of the Billboard Year-End Hot 100 songs from 1968 to 2019 and the Billboard Year-End Hot R&B/Hip-Hop songs from 1970 to 2019 was obtained for a combined total of 8550 songs. Lyrics for each song were extracted via a web-scraping system, and a database of plastic surgery-related terms was developed by our team. Each term was then queried amongst the compiled lyrics data sets, and the total frequency of plastic surgery-related terms per year and per decade was determined. Each term was also examined in its context of usage to validate its relevance to plastic surgery and determine its connotation through sentiment analysis. The frequency of plastic surgery-related terms referenced in the Billboard Year-End Hot 100 and Billboard Year-End Hot R&B/Hip-Hop charts has increased 15-fold from the 1970s (n = 1 song) to 2010s (n = 15 songs). The terms most often mentioned included “doctor,” “silicone,” “plastic,” “surgery,” “nip-tuck,” and “lipo.” Artists who most frequently used plastic surgery-related terms were Kanye West, 2 Chainz, and Nicki Minaj. The current study is the first to evaluate trends in plastic surgery references in music formally. In turn, this study helps further our understanding of the interplay between plastic surgery and popular culture.

Feminists against fad, fizz ed: a poetic commentary exploring the notion of Joe Wicks as physical education

ABSTRACT Introduction: Even though advocacy for poststructural feminist lenses to change/challenge physical education (PE) has grown over the years, there is an evident gap in qualitative research using poetic forms of representation in PE. Purpose: The purpose of this study was to use a poststructural feminist framework to challenge a particular kind of hegemonic reproduction of PE, particularly to explore the notion of ‘Joe Wicks as PE’. Participants and settings: Collaborative autoethnography framed this study and participants included three queer leaning female-identified early/mid-career PE teacher educators. Data collection/analysis: Over the course of eight weeks, we collected and generated a variety of texts individually and collectively. To capture our reactions, we decided to collect data around two ‘prompts’, namely the recorded podcast titled ‘Is Joe Wicks the face of PE?’ of an Association Internationale des Écoles Supérieures d’Éducation Physique (AIESEP) hosted chat, and our participation in a 9 am ‘PE with Joe’ session. We presented the data gathered in this project poetically. Findings: We divided the findings into two parts corresponding with our responses (collaborative autoethnographies) to the two themes, namely ‘We can’t fix this/that’ (aka ‘Banging our heads against a brick wall’) and ‘Joe Wicks as PE’ (aka ‘Feminist killjoys’). Implications: We believe that a poetic representation, in addition to nurturing and amplifying the emotional and lyrical data collected, presented an opportunity to contribute to, and extends this kind of representational style in PE. In addition to this, collaborative autoethnography allowed us as a community to advance scholarship and provides a space for collective empowerment.

DEIXIS IN JUSTIN BIEBER’S SONGS

This research entitled Deixis in Justin Bieber’s Songs. The aims of this research is to analyze kind of deixis that used of Justin Bieber’s song lyrics in ‘Purpose Album and dominant deixis that used in this song. The focus types deixis which analyzed are: person dexis, place deixis and time deixis.The data used to complete this study is song lyrics of Justin Bieber in ‘Purpose Album. The song lyrics data got from internet browsing. Descriptive qualitative design is used to conduct this research. Having analyzed the data, the findings of this study are: (a) There are three kinds deixis are found, namely: person deixis (you,I, we, it, me, us, your, myself, yourself), time deixis (all day, all night, then, when, once, twice, tonight, at second chance, all the times, night, and place deixis (in this game, in my work, on my own); (b) The deixis words to be analyzed are 145 words; 130 words are person deixis, 11 words are time deixis, 4 words are place deixis; (c) The dominantly deixis that found is person deixis are 130 words or 89,6%. The researcher proposes student should learn deixis from song lyrics, because it’s familiar in society. Keywords: Deixis, Song Lyric, Place Deixis, Time Deixis, Person Deixis

Makna Lirik Dan Nilai Budaya Pada Lagu Tradisional Jepang Momiji

Japan has four distinct seasons each year, called Haru (spring), Natsu (summer), Aki (fall), and Fuyu (winter). Each season has a different natural state, has a different color, and a different atmosphere. For example, in autumn (aki), many leaves turn yellow or red, so this is a characteristic of autumn. This distinctive characteristic is embodied in a song entitled "Momiji". This study aims to analyze the meaning of the Momiji song lyrics and the hermeneutic reading of the Momiji song lyrics. Momiji song lyric data is taken from http://www.worldfolksong.com. This study uses an interpretive qualitative method. This research concludes that the cultural meaning that appears in these lyrics can be seen in the words "Susumoyou and Nishiki". Susumoyou is a pattern found on a kimono that has a plain top, so the pattern is seen as beautiful. Nishiki is silk fabrics that are woven beautifully using colorful threads.

Music Recommendation System based on Fusion Deep Learning Models

With the growth of user popularity of online music platforms, the amount of music data and the demands on accurate recommendation system for music also increases. Therefore, an accurate and efficient recommendation system is urgently needed. In this paper, a music recommendation system based on fusion deep learning models is proposed. Both of the audio information and lyrics data are originally exploited. A supervised training method is applied to train this model with annotated data. In this paper, the result of the test dataset shows that the proposed model can achieve more than 90% accuracy performance on average.

Automatic music mood recognition using Russell’s twodimensional valence-arousal space from audio and lyrical data as classified using SVM and Naïve Bayes

Automatic music mood recognition is still a new field of research that is gaining attention in the last decade. This study created a system that predicts which of the four quadrants of the valence-arousal space the song belongs to. The system used support-vector machine (SVM) for audio features while Naïve Bayes was used for lyrical features. audio classification achieved a high accuracy for arousal while lyrics classification achieved a high accuracy for valence.

Electronic musical apparatus using vocalized sounds to sing a song automatically

An electronic musical apparatus employs a tone-generator section containing a plurality of tone-generator channels, each consisting of a vowel generation unit and a consonant generation unit which operate based on formant sound synthesis, so that a song is automatically swung based on lyric data and performance data. If a syllable within words of a lyric designated by the lyric data consists of a consonant and a vowel, the consonant generation unit generates the consonant with respect to a consonant sounding time which is set in advance whilst the vowel generation unit generates the vowel to follow the consonant. If generation of multiple syllables is allocated to a desired single note within notes corresponding to a melody designated by the performance data, the multiple syllables are sequentially generated during a sounding time of the desired single note. A human operator is capable of inputting words of a lyric to form the lyric data by using a computer keyboard. Or, the human operator is capable of editing the contents of the lyric data by using the computer keyboard. Incidentally, programs and/or the lyric data and performance data can be stored in an internal memory of the electronic musical apparatus; or they can be transferred to the electronic musical apparatus from an external storage device or an external system.

Electronic musical apparatus for synthesizing vocal sounds using formant sound synthesis techniques

An electronic musical apparatus is designed to sing a song based on performance data which indicate a melody originally played by a musical instrument. Herein, the apparatus contains a formant tone generator and a data memory which stores a plurality of formant data, lyric data and melody data. Formant synthesis method is employed for voice synthesis to generate voices based on the plurality of formant data selectively designated by the lyric data so that the voices are sequentially generated in accordance with words of a song. Thus, the song is automatically swung by sequentially generating the voices in accordance with a melody which is designated by. the melody data; and the voice synthesis is controlled such that generation of the voices temporarily stopped at timings of pausing for breath. Moreover, the data memory can store formant parameters with respect to each phoneme, so that the formant tone generator can gradually shift sounding thereof from a first phoneme (e.g., a consonant) to a second phoneme (e.g., a vowel). Herein, formant parameters, regarding the first phoneme, are supplied to the formant tone generator in a pre-interpolation time between a first phoneme sounding-start-time and an interpolation start time. Then, Interpolation is effected on the formant parameters to achieve gradual shifting of the sounding. A pace for the shifting of the sounding from the first phoneme to the second phoneme can be changed on demand.