Speech Speaker Research Articles

Analysis of Locutionary and Perlocutionary Acts in Language Advertisements

Pragmatics in linguistics is the scientific study of the relationship between language and the context that underlies the explanation of the meaning or understanding of language. In pragmatics, there is a branch of science that discusses speech acts, which are divided into three categories: locutionary acts, which are only utterances delivered by speakers to state something; an illocutionary act is a speech act that has a specific purpose or context; perlocutionary acts are actions carried out by the speech partner as an effect of the speaker's speech. Speech acts do not only occur orally but also in writing, including scripts in advertisements.The research method used is qualitative and descriptive because the data collected doesn't involve statistical figures. This approach provides a narrative overview of the object and study results. The researcher acts as the instrument, collecting data on speech acts based on Austin and Nababan's theories. The results of the analysis show that in German-language advertisements, there are all types of speech acts. It is very important to learn and understand language, not only in terms of grammar but also in the context and meaning of the language to avoid misunderstandings.

Perceptions of social class through Chinese speech cues

Speech is a complex auditory signal that contains multiple layers of linguistic and non-linguistic structure, it contains both linguistic and social class information. Perceivers are exquisitely sensitive to this layered structure and extract not only linguistic properties, but also indexical characteristics that provide information about individual talkers and groups of talkers. Social class information involves inferring the speaker's social class or forming an impression of their social status based on their speech. Previous research on social class perception in speech has primarily focused on English, with relatively little research on Chinese. This study examines social class perception in Chinese speech. Study 1 employed class judgment and evaluation tasks with a subjective social class scale as the main measure to examine whether listeners could infer class information from Chinese speech and how their own class background influenced their perception. The results of Study 1 showed that subjects could accurately discriminate between speakers' social classes, but there may be a response bias that overestimates lower-class speakers as upper-class speakers. Study 2 focused on whether the speech of different classes of speakers actually differed on a number of indicators. It was found that the speech of higher class speakers was perceived to be more standardised, more pleasant to listen to and less accent-intensive. Overall, listeners can perceive class information from Chinese speech; different classes of Chinese speech do contain different levels of indexical information. In Chinese language societies, individuals can also judge their class information through the speech, which is consistent with the relevant research results in English.

WaveVC: Speech and Fundamental Frequency Consistent Raw Audio Voice Conversion

Voice conversion (VC) is a task for changing the speech of a source speaker to the target voice while preserving linguistic information of the source speech. The existing VC methods typically use mel-spectrogram as both input and output, so a separate vocoder is required to transform mel-spectrogram into waveform. Therefore, the VC performance varies depending on the vocoder performance, and noisy speech can be generated due to problems such as train-test mismatch. In this paper, we propose a speech and fundamental frequency consistent raw audio voice conversion method called WaveVC. Unlike other methods, WaveVC does not require a separate vocoder and can perform VC directly on raw audio waveform using 1D convolution. This eliminates the issue of performance degradation caused by the train-test mismatch of the vocoder. In the training phase, WaveVC employs speech loss and F0 loss to preserve the content of the source speech and generate F0 consistent speech using the pre-trained networks. WaveVC is capable of converting voices while maintaining consistency in speech and fundamental frequency. In the test phase, the F0 feature of the source speech is concatenated with a content embedding vector to ensure the converted speech follows the fundamental frequency flow of the source speech. WaveVC achieves higher performances than baseline methods in both many-to-many VC and any-to-any VC. The converted samples are available online.

Differential spectral characteristics of the Spanish fricative /s/ in the articulation of individuals with dysarthria and apraxia of speech

PurposeThis study examines whether there are differences in the speech of speakers with dysarthria, speakers with apraxia and healthy speakers in spectral acoustic measures during production of the central-peninsular Spanish alveolar sibilant fricative /s/. MethodTo this end, production of the sibilant was analyzed in 20 subjects with dysarthria, 8 with apraxia of speech and 28 healthy speakers. Participants produced 12 sV(C) words. The variables compared across groups were the fricative's spectral amplitude difference (AmpD) and spectral moments in the temporal midpoint of fricative execution. ResultsThe results indicate that individuals with dysarthria can be distinguished from healthy speakers in terms of the spectral characteristics AmpD, standard deviation (SD), center of gravity (CoG) and skewness, the last two in context with unrounded vowel, while no differences in kurtosis were detected. Participants with AoS group differ significantly from healthy speaker group in AmpD, SD and CoG and Kurtosis, the first one followed unrounded vowel and the latter two followed by rounded vowels. In addition, speakers with apraxia of speech group returned significant differences with respect to speakers with dysarthria group in AmpD, CoG and skewness. ConclusionsThe differences found between the groups in the measures studied as a function of the type of vowel context could provide insights into the distinctive manifestations of motor speech disorders, contributing to the differential diagnosis between apraxia and dysarthria in motor control processes.

ОСНОВНЫЕ ПРОБЛЕМЫ ЛИНГВОЭКОЛОГИИ: ТЕОРЕТИЧЕСКИЙ И ПРИКЛАДНОЙ АСПЕКТЫ

The author identifies the main problem field of linguoecology, gives a brief overview of linguoecological ideas and problems arising in linguistic society as a result of violation of the necessary relationship between native and acquired language resources, presents the results of a study of oral spontaneous discourse to identify existing problems of language ecology in the speech of native speakers of the Russian language.
 During the study, the author analyzed 36 recordings of oral spontaneous discourse with a total duration of 7,2 hours, representing dialogues and polylogues received from informal informants- native speakers of the Russian language – students, cafe visitors, public transport passengers, participants of TV discussions, represented in approximately equal percentages.
 The main methods of work are the method of auditory analysis, descriptive method (observation, analysis, generalization, classification), statistical method.

Intonation of polar questions in German-dominant heritage speakers of Italian

Abstract In heritage language (HL) research, prosodic aspects of heritage speakers (HSs) speech have only recently started to receive attention and the results have been mixed. While some studies report cross-linguistic influence (CLI) for HL intonation, others consider it robust. The present study contributes to this debate and examines the intonational patterns of polar questions (PolQs) in the two languages of 30 HSs of Italian with German as majority language. This language combination displays overlapping and distinct intonational patterns in PolQs, making intonation potentially subject to CLI in bilingual language acquisition. The results of an elicited production task indicate that HSs maintain a systemic difference between their two languages. In German, HSs produce PolQs in a monolingual like manner. In Italian of HSs, both monolingual-like performance and CLI from German has been observed. Early Italian use is beneficial for monolingual-like outcomes in the HL.

ŞAGİRDLƏRİN ŞİFAHİ NİTQİNİN İNKİŞAFINDA MONOLOJİ VƏ DİALOJİ NİTQİN NƏZƏRİ ƏSASLARI (Alman dilinin materialları əsasında)

Theoretical Foundations of Monology and Dialogicity of Speech in the Development of Oral Speech Speakers (on the basis of German language materials) Summary It is very important that the development of speech is included in the educational process. In particular, it is important to develop a speech culture when teaching the language in higher educational institutions. When teaching speech culture, you need to focus on two types of speech and make students feel comfortable in both types. Methods of expression, appearance, purpose of communication, conditions, etc. There are a number of features (oral speech, written speech, formal speech, stage speech, public speaking, literary speech, indirect speech, indirect speech, organized and unorganized speech, etc.) that differ in different parameters from each other. In the process of training, a future specialist should gain theoretical knowledge and practical skills in constructing monologic speech and dialogic speech. Key words: skills, monologue speech, dialogic speech, speech development, new technologies

Generative Listener EEG for Speech Emotion Recognition Using Generative Adversarial Networks with Compressed Sensing.

Currently, emotional features in speech emotion recognition are typically extracted from the speeches, However, recognition accuracy can be influenced by factors such as semantics, language, and cross-speech datasets. Achieving consistent emotional judgment with human listeners is a key challenge for AI to address. Electroencephalography (EEG) signals prove to be an effective means of capturing authentic and meaningful emotional information in humans. This positions EEG as a promising tool for detecting emotional cues conveyed in speech. In this study, we proposed a novel approach named CS-GAN that generates listener EEGs in response to a speaker's speech, specifically aimed at enhancing cross-subject emotion recognition. We utilized generative adversarial networks (GANs) to establish a mapping relationship between speech and EEGs to generate stimulus-induced EEGs. Furthermore, we integrated compressive sensing theory (CS) into the GAN-based EEG generation method, thereby enhancing the fidelity and diversity of the generated EEGs. The generated EEGs were then processed using a CNN-LSTM model to identify the emotional categories conveyed in the speech. By averaging these EEGs, we obtained the event-related potentials (ERPs) to improve the cross-subject capability of the method. The experimental results demonstrate that the generated EEGs by this method outperform real listener EEGs by 9.31% in cross-subject emotion recognition tasks. Furthermore, the ERPs show an improvement of 43.59%, providing evidence for the effectiveness of this method in cross-subject emotion recognition.

Automatic classification of emotions in speech: methods and data

The subject of this study is the data and methods used in the task of automatic recognition of emotions in spoken speech. This task has gained great popularity recently, primarily due to the emergence of large datasets of labeled data and the development of machine learning models. The classification of speech utterances is usually based on 6 archetypal emotions: anger, fear, surprise, joy, disgust and sadness. Most modern classification methods are based on machine learning and transformer models using a self-learning approach, in particular, models such as Wav2vec 2.0, HuBERT and WavLM, which are considered in this paper. English and Russian datasets of emotional speech, in particular, the datasets Dusha and RESD, are analyzed as data. As a method, an experiment was conducted in the form of comparing the results of Wav2vec 2.0, HuBERT and WavLM models applied to the relatively recently collected Russian datasets of emotional speech Dusha and RESD. The main purpose of the work is to analyze the availability and applicability of available data and approaches to recognizing emotions in speech for the Russian language, for which relatively little research has been conducted up to this point. The best result was demonstrated by the WavLM model on the Dusha dataset - 0.8782 dataset according to the Accuracy metric. The WavLM model also received the best result on the RESD dataset, while preliminary training was conducted for it on the Dusha - 0.81 dataset using the Accuracy metric. High classification results, primarily due to the quality and size of the collected Dusha dataset, indicate the prospects for further development of this area for the Russian language.

Lexical and Phonological Levelling in the Speech of Qassimi Arabic Speakers

This study on linguistic levelling in the speech of Qassimi Arabic speakers found that there are six distinct aspects of phonological levelling present in the dialect, coupled with a plethora of examples on lexical levelling among two groups. Qassimi Arabic speakers who reside in Qassim region and have lived there their entire lives, and Qassimi Arabic speakers who have resided in different Saudi regions most of their adult lives. Findings indicate that women are more likely to engage in levelling, and those with less education, and resident in Qassim are less likely to engage in levelling. Dialect changes occurred in nearly 2 of 3 participants and were due to the mixing of cultures and growing urbanisation. The results of the study are in line with other literature indicating that speakers of Qassimi Arabic engage in spontaneous levelling of their dialect for prosocial motives, for reasons having to do with ease of use and convenience. The study made meaningful contributions in explicating the specific aspects of phonological and lexical levelling with respect to the Qassimi Arabic dialect and to the influences of variables such as gender, age, gender, and region.

Assessment of Students’ Speaking Skills using the Competent Speaker Speech Rubric

The importance of English language learning for students worldwide, especially in countries where English serves as the medium of instruction, cannot be overstated. However, in educational institutions in Pakistan, appears to be an overemphasis on accuracy at the expense of fluency. As a result, students face challenges when communicating in English as their second language. The present study aims to assess the speaking proficiency of students who studied English II at the University of Swat, utilizing a sample comprising 65 students from two intact classes. A quantitative research design was employed to gather data, and students' presentations were observed using the Competent Speaker Speech Rubric. The results indicated that students' proficiency in five competencies, namely providing relevant supporting material, usage of suitable language, incorporation of vocal variety, usage of an effective pattern to present a topic and display of proper articulation, pronunciation and grammar, were below the satisfactory level. On a positive note, students surpassed satisfactory standards in three competencies, specifically selecting and refining a topic, effectively conveying a thesis or specific purpose, and employing physical and nonverbal cues to enhance verbal communication. The present study has significant implications for instructors, suggesting them using rubrics as valuable grading tools to evaluate students effectively.

Penggunaan Metode Audiolingual dalam Maharah Istima' di MTs. KH. Hasyim Asy’ari Malang

The research conducted by this researcher aims to find out 1) The use of the audiolingual method in maharah istima' at MTs. KH. Hasyim Asy'ari Malang 2) The steps of using the audiolingual method 3) The technique of using the audiolingual method 4) The advantages and disadvantages of the audiolingual method. The method used in this research is qualitative with research instruments in the form of interviews, observations, and documentation. As a result, 1) the use of the audiolingual method for listening skill aims so that students are able to understand speaker's speech correctly and well without feeling difficult 2) The steps for using the Audiolingual Method include presenting dialogue texts, students memorizing dialogues, presenting sentence patterns in dialogue, dramatize the dialogue, and the teacher asks students to compose sentences according to the sentence patterns in the dialogue 3) The technique used in the use of this method is listening to dialogue, memorizing dialogue, dictation, and connecting words 4) The advantage of this method is that students become proficient in forming patterns. sentences, have good and correct pronunciation, be active in dialogue, gain direct language experience while the drawback is that students tend to copy or imitate because they pay less attention to when learning takes place

Using altered auditory feedback to study pitch compensation and adaptation in tonal language speakers.

Human speech production is strongly influenced by the auditory feedback it generates. Auditory feedback-what we hear when we speak-enables us to learn and maintain speaking skills and to rapidly correct errors in our speech. Over the last three decades, the real-time altered auditory feedback (AAF) paradigm has gained popularity as a tool to study auditory feedback control during speech production. This method involves changing a speaker's speech and feeding it back to them in near real time. More than 50% of the world's population speak tonal languages, in which the pitch or tone used to pronounce a word can change its meaning. This review article aims to offer an overview of the progression of AAF paradigm as a method to study pitch motor control among speakers of tonal languages. Eighteen studies were included in the current mini review and were compared based on their methodologies and results. Overall, findings from these studies provide evidence that tonal language speakers can compensate and adapt when receiving inconsistent and consistent pitch perturbations. Response magnitude and latency are influenced by a range of factors. Moreover, by combining AAF with brain stimulation and neuroimaging techniques, the neural basis of pitch motor control in tonal language speakers has been investigated. To sum up, AAF has been demonstrated to be an emerging tool for studying pitch motor control in speakers of tonal languages.

Tempo-rhythmic characteristics of spontaneous speech of speakers of certain types of mental accentuations of personality in states of psychoemotional tension

The subject of psycholinguistic research is the formal signs of spontaneous sounding speech of the speaker in conditions of emotional tension. In our opinion, indicators of emotional tension of speech in perception are, first of all, formal means of sounding speech at the level of rhythm, tempo, speech failures, which are in relation to complementarity with the semantic content of the phrase and signal the degree of tension of speech. Thus, the state of emotional tension is transmitted by a complex of formal signs of sounding speech. As an example of the psychological factor of emotional tension, we considered court hearings in criminal cases. The object was audio recordings of spontaneous sounding speech of native speakers of the Russian language in a situation that determines the state of emotional tension of the speaker. The novelty of the research lies in the use of qualitative experimental methods in the analysis of spontaneous sounding speech in a situation of emotional tension. Obtaining objective results becomes possible on the basis of auditory linguistic analysis, which allows with a certain degree of reliability to assess the emotional state of the speaker (deviation from the norm, anxiety, tension, the presence and type of emotions, for example, excitement, surprise, fear / anger, etc.), psychophysiological state (abnormality, the presence of pathology), finally, establish boundary criteria for determining a stress disorder for a particular mental type. Of particular interest is the appeal to the psychological typologization of the personality of K. Leonhard, which makes a reliable analysis not only of the characteristics of the character (the so-called psychological phenotype of the personality), but also of his temperament (the psychological basis of the personality).

Attention-based speech feature transfer between speakers.

In this study, we propose a simple yet effective method for incorporating the source speaker's characteristics in the target speaker's speech. This allows our model to generate the speech of the target speaker with the style of the source speaker. To achieve this, we focus on the attention model within the speech synthesis model, which learns various speaker features such as spectrogram, pitch, intensity, formant, pulse, and voice breaks. The model is trained separately using datasets specific to the source and target speakers. Subsequently, we replace the attention weights learned from the source speaker's dataset with the attention weights from the target speaker's model. Finally, by providing new input texts to the target model, we generate the speech of the target speaker with the styles of the source speaker. We validate the effectiveness of our model through similarity analysis utilizing five evaluation metrics and showcase real-world examples.

Analisis Jenis Ekspresif pada Akun Tiktok Shabira Alula

Pragmatics is the speaker's intention in communicating between the speaker and the speech partner. Pragmatics is related to signs (symbols) and meaning. Moris 1938 as the founder of the oldest field of pragmatics studies. Aspects in pragmatic studies are language, context, and understanding. Analysis of expressive types on Shabira Alula's TikTok account. This analysis uses a qualitative descriptive method. Expressive speech acts are the intention of the speaker's speech as an evaluation in communication. Some expressive types praise, complain, please, etc. There are types of expressiveness that are not widely known and what they mean, so the aim of this research is to find out the types of expressiveness and why they occur on Shabira Alula's TikTok account. Understanding, listening, and taking notes as data retrieval techniques. The research results show an expressive type based on Shabira Alula's TikTok account video. The benefits of this analysis are expected to know and develop each type of expressiveness. The results of the analysis based on @Shabiraalulaadnan's TikTok video show several types of expressiveness, namely comforting expressiveness, criticizing expressiveness, praising expressiveness, confusion expressiveness, apologizing expressiveness, thanking expressiveness, blaming expressiveness.

Nasal Vowels in Solor Dialect of Lamaholot Language and Their Morpho-Syntactic Significance

The Lamaholot language spoken in East Flores and Lembata has several interesting distinctive features, compared to its neighboring languages. One of these features is nasal vowels. Nasal vowels in this language are phonemic, in that they show distinct meanings in contrasted minimal-pair words. Because of this phonemic characteristic, the nasal vowels in the dialect have significant influences on the Lamaholot linguistics. This research will examine the importance of nasal vowels in Solor dialect of Lamaholot morphologically and syntactically. Two research problems this study has tried to answer are (1) what are the morphologic and syntactic significances of the nasal vowels of Solor Dialect of Lamaholot Language, and (2) what meanings do these nasal vowels indicate when they involve in morphological processes? Apart from being an additional linguistic reference for the study of languages in eastern Indonesia in particular, and Austronesian languages at a broader level, this research also contributes to the efforts to maintain regional languages in East Nusa Tenggara. The approach to be used in this study is descriptive. The theory referred to is functional typology with the concepts of Basic Linguistic Theory based on generative structural grammar. References to the theory can be read, among others, in Payne (1997), Dixon (2010a), Comrie (1989) and Sophen (2007a, 2007b, 2007c). Data for this study was collected through recording and elicitation from the native speakers of Solor dialect. The collected corpus in the form of audio data is analyzed and stored electronically with the Praat application, and then transcribed into text form. The text data is sorted, then analyzed and stored electronically with the Toolbox application, which can later be used as additional data for the Solor – Lamaholot dialect dictionary database, which the author is currently working on. The research results show that the presence of nasal vowels in the Solor dialect of the Lamaholot language gives very significant and influential contribution to the communication and speech of speakers of this dialect. This grammatical feature is so important that its presence can give rise to different interpretations by listeners. Morphosyntactically, the nasal vowels in Solor dialect of the Lamaholot language express five functions, namely (1) to express the pronominal form of ownership; (2) to express the form of alienable ownership; (3) to express the enclitic form of third person singular possession in common nouns; (4) to state the participial function derived from the verb; and (5) to express the attributive function of adjectives in the Solor dialect of the Lamaholot language.

Noise-robust voice conversion using adversarial training with multi-feature decoupling

Most existing voice conversion methods focus primarily on separating speech content from speaker information while overlooking the decoupling of pitch information. Additionally, the quality of converted speech significantly degrades when the speech of the target speaker is contaminated by noises. To address these issues, this paper proposes a noise-robust voice conversion model with multi-feature decoupling based on adversarial training. The proposed framework utilizes three distinct encoders to encode speech content, speaker identity, and pitch information independently, which aims to enhance the performance of decoupling by minimizing their mutual information and reduce the correlations between feature vectors. Moreover, a gradient reversal layer and a noise decoupling discriminator are incorporated into the framework, which extracts noise-resistant speaker representations and content representations through adversarial training to facilitate the synthesis of high-quality speech. In order to optimize the learning process, a training strategy is developed which involves alternating between clean and noisy data during the training of the encoder. This strategy effectively guides and expedites the convergence of the model. Experimental results demonstrate that compared to the state-of-the-art baselines of noise-robust voice conversion, the proposed model achieves improvements around 0.31 and 0.39 in terms of speech naturalness and speaker similarity evaluation metrics, respectively.

Analisis Tindak Tutur Ekspresif pada Video “Learning by Googling” di dalam Kanal Youtube Sepulang Sekolah

Pragmatics is a field of linguistics that examines the relationship between speech acts between speakers and speech partners. In the study of pragmatics, there are many forms of speech acts and one of them is illocutionary speech acts. Illocutionary speech acts are further divided into several parts and one of them is expressive speech acts which researchers discuss in this study. This research aims to describe various theories regarding expressive speech acts, classify various types of expressive speech acts contained in the Learning by Googling video collection, and explain the forms of various types of speech acts contained in the Learning by Googling video collection. Researchers used two approaches, namely theoretical and methodological approaches. The theoretical approach that researchers use in this research is pragmatic because the topic is pragmatic studies, while the methodological approach that researchers use is a qualitative descriptive approach. The object of study used in this research is a collection of Learning by Googling videos on the Sepulang Sekolah YouTube channel. Researchers in collecting or collecting data use free listening and note-taking techniques. The data analysis technique is the matching technique. The matching technique or method is a technique or method used to identify the impact of the speaker's speech on the speech partner. Furthermore, in presenting the data the researcher used informal techniques. This article contains the results of research regarding the study of expressive speech acts which are applied to the study objects that researchers use and in which there are several forms of expressive speech, including praising, blaming, and criticizing. The benefit of this research is to provide knowledge about expressive speech acts that often occur in everyday life. It is hoped that readers will know and understand the science of expressive speech acts and can be a reference for writers of articles regarding expressive speech acts.

Micro-sociolinguistic outcomes of language contact in different lects of Indian English

This paper explores language contact phenomena (substrate und superstrate influence, universal learning strategies) in the speech of English-dominant, Hindi-dominant and bilingual speakers of Indian English. In so doing, it describes the nature and extent of linguistic variation that spans a broad sociolinguistic spectrum. The empirical basis of the study targets two domains of language: morpho-syntax (the English present perfect) and discourse pragmatics (quotative marking). The stratification of the informants into English-dominant, Hindi-dominant and bilingual is diagnostic of the sociolinguistic settings in which varieties in contact have been acquired (predominantly English, predominantly Hindi or mixed). The results indicate that superstratal influence is most noticeable in the speech of English-dominant individuals. In contrast, Hindi-dominant and bilingual speakers demonstrate substrate-induced features in their speech. The universal learning strategies of simplification are limited to the linguistic repertoires of the individuals with predominantly Hindi background. Crucially, bilingual speakers appear to engage in the construction of creative coinages and lead an incipient language change in the domain of quotative marking. Against this backdrop, the study shows that bilingualism is a primary sociocognitive condition underpinning speakers’ linguistic creativity and its major prerequisite. The study also pinpoints the importance of sociolinguistic differentiation through meticulous ethnographic fieldwork in the study of linguistic variation.