Speech Research Articles

The Comparative Typology of Subordinate Conjunctions of Auxiliary Parts of Speech in the Azerbaijani and Russian Languages

This article explores the comparative typology of subordinating conjunctions among auxiliary parts of speech in the Azerbaijani and Russian languages. The study aims to identify and analyze the structural and functional characteristics of subordinating conjunctions in both languages, highlighting their similarities and differences. Through comprehensive linguistic analysis, the research examines the usage patterns of auxiliary parts of speech, focusing on their roles in constructing complex sentences and expressing subordinate clauses. The article presents distinctive features of subordinating conjunctions in Azerbaijani and Russian, offering insights into their syntactic behaviors and semantic effects. This comparative approach aids in a broader understanding of conjunction usage in Turkic and Slavic languages, emphasizing the importance of auxiliary parts of speech in language structure and communication.

WAYS OF IMPROVING FOREIGN LANGUAGE COMMUNICATION DURING STUDENTS' PROFESSIONAL TRAINING

The article examines the issue of developing foreign language communicative competence of students as the primary goal of language learning in the context of professional training of future specialists. It is argued that the most relevant cognitive-linguistic, operational-linguistic and communicative competences for professionally oriented foreign language learning are the ones which enable the use of language as a means of obtaining professionally significant information through reading and participating in oral and written professional communication. The views of domestic and foreign scholars regarding the definition of foreign language communicative competence and its component structure are analyzed. All components of foreign language communicative competence are interrelated and interdependent, forming a complex, holistic, systematic, and structured entity. The process of foreign language learning should be aimed at the gradual cultivation of foreign language communicative competence components, using the most effective teaching forms, methods and tools. The forms, methods and tools for conducting productive classes are highlighted as those focused on activating cognitive activity, developing foreign language communicative competence, overcoming language, speech and socio-cultural communication difficulties. Attention is drawn to the expediency of using innovative teaching methods such as role-playing games, discussions, project-based methods, quests, as they are person-centered and create conditions for the enhancement of students' creative thinking and provide a good opportunity to acquire and apply foreign language knowledge due to the emergence of internal motivation. The research results in the context of future specialists' motivation to master foreign language communication skills and abilities are presented.

Breathy Vocal Quality, Background Noise, and Hearing Loss: How Do These Adverse Conditions Affect Speech Perception by Older Adults?

Although breathy vocal quality and hearing loss are both prevalent age-related changes, their combined impact on speech communication is poorly understood. This study investigated whether breathy vocal quality affected speech perception and listening effort by older listeners. Furthermore, the study examined how this effect was modulated by the adverse listening environment of background noise and the listener's level of hearing loss. Nineteen older adults participated in the study. Their hearing ranged from near-normal to mild-moderate sensorineural hearing loss. Participants heard speech material of low-context sentences, with stimuli resynthesized to simulate original, mild-moderately breathy, and severely breathy conditions. Speech intelligibility was measured using a speech recognition in noise paradigm, with pupillometry data collected simultaneously to measure listening effort. Simulated severely breathy vocal quality was found to reduce intelligibility and increase listening effort. Breathiness and background noise level independently modulated listening effort. The impact of hearing loss was not observed in this dataset, which can be due to the use of individualized signal to noise ratios and a small sample size. Results from this study demonstrate the challenges of listening to speech with a breathy vocal quality. Theoretically, the findings highlight the importance of periodicity cues in speech perception in noise by older listeners. Breathy voice could be challenging to separate from the noise when the noise also lacks periodicity. Clinically, it suggests the need to address both listener- and talker-related factors in speech communication by older adults.

Self-powered visualized tactile-acoustic sensor for accurate artificial perception with high brightness and record-low detection limit.

The growth of the Internet of Things has focused attention on visualized sensors as a key technology. However, it remains challenging to achieve high sensing accuracy and self-power ability. Here, we propose a self-powered visualized tactile-acoustic sensor (SVTAS) based on an elaborated triboelectrification-induced electroluminescence (TIEL) unit. To date, it features a high brightness of 0.5 mW cm-2 (32 cd m-2) and a record-low detection limit of 0.5 kPa in horizontal-sliding mode. Meanwhile, the SVTAS is applicable to convert acoustic waves into TIEL signals in contact-separation mode, showing the highest response to the 44.07 Hz sound, a high signal-to-noise ratio of 8.7 dB-1, and an ultrafast response time of 0.8 ms. Furthermore, advanced artificial visualized perception systems are constructed with excellent performance in recognizing motion trajectories and human speech with different words/sentences. This work paves the way for the highly efficient and sustainable development of new-generation self-powered visualized perception systems, contributing a solution to wireless communication free from electromagnetic interference.

Exploring the effect of diet programs on the behavior of Sudanese children with autism and the prevalence and association of gastrointestinal symptoms: a multi-center cross-sectional study

Background and aims: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social difficulties, speech and nonverbal communication issues, and restricted behaviors. Nutritional issues, such as food allergies and intolerances, can affect children with ASD. This study aimed to evaluate the impact of diet programs on ASD behavior and gastrointestinal symptoms, which would be considered as a starting point to increase the family’s knowledge about how to practice healthy and suitable dieting for their children. Materials and methods: The study was a cross-sectional observational study on 45 children with an autism spectrum disorder in four centers aged 2–18 in Khartoum state. Data was collected through an interview questionnaire, which included sociodemographic, diet, gastrointestinal, and behavioral assessments. The data was analyzed using SPSS to find the correlation between the various variables. Independent t-test, Analysis of Variance, and Mann–Whitney test were used in univariant analysis to assess the association between study variables, while multiple linear regression was used in multivariant analysis for the same purpose Results: The study involved a large number of children with autism spectrum disorder (ASD), with 80% being male and 73.3% being school-aged. Most had parents as guardians and 71.1% were in intermediate financial status. About 20% were overweight or obese, and 57.8% did not have a specific diet program. Food selectivity was prevalent, with 22.7% having allergies to milk and wheat. ASD children experienced vomiting, gastric reflux, abdominal pain, and changes in stool characteristics. A significant link was found between financial status, behavioral status and gastrointestinal changes. High financial status was significantly different from intermediate and low statuses based on behavioral changes. However, no significant association was found in multivariant analysis. Conclusion: The study found that ASD children generally have good nutritional health, with a higher degree of dietary selection. The financial status of guardians significantly influenced behavioral and gastrointestinal changes in the children. Further interventional studies are recommended to assess the direct impact of diet programs on these symptoms.

Release from same-talker speech-in-speech masking: Effects of masker intelligibility and other contributing factorsa).

Human speech perception declines in the presence of masking speech, particularly when the masker is intelligible and acoustically similar to the target. A prior investigation demonstrated a substantial reduction in masking when the intelligibility of competing speech was reduced by corrupting voiced segments with noise [Huo, Sun, Fogerty, and Tang (2023), "Quantifying informational masking due to masker intelligibility in same-talker speech-in-speech perception," in Interspeech 2023, pp. 1783-1787]. As this processing also reduced the prominence of voiced segments, it was unclear whether the unmasking was due to reduced linguistic content, acoustic similarity, or both. The current study compared the masking of original competing speech (high intelligibility) to competing speech with time reversal of voiced segments (VS-reversed, low intelligibility) at various target-to-masker ratios. Modeling results demonstrated similar energetic masking between the two maskers. However, intelligibility of the target speech was considerably better with the VS-reversed masker compared to the original masker, likely due to the reduced linguistic content. Further corrupting the masker's voiced segments resulted in additional release from masking. Acoustic analyses showed that the portion of target voiced segments overlapping with masker voiced segments and the similarity between target and masker overlapped voiced segments impacted listeners' speech recognition. Evidence also suggested modulation masking in the spectro-temporal domain interferes with listeners' ability to glimpse the target.

Machine learning for predictive AAC: Improving speech and gesture-based communication systems

Augmentative and alternative communication (AAC) systems play a crucial role in supporting individuals with severe communication disabilities by providing accessible means of expression and engagement. However, many conventional AAC devices rely on manual input or basic predictive functions, which can limit communication efficiency and responsiveness. The application of machine learning (ML) to AAC offers new opportunities to enhance these systems, enabling them to provide faster, more accurate, and contextually relevant communication assistance. Advances in ML, particularly in predictive text, speech recognition, and gesture interpretation, allow AAC systems to adapt more intuitively to user needs, predicting intent based on usage patterns and multimodal data, such as voice and gestures. Current research highlights the potential of ML to address key gaps in AAC technology by creating more responsive, personalized systems that align with individual user behaviours. This study proposes a novel ML framework designed to integrate these capabilities, promising improvements in communication speed, user autonomy, and accuracy. By addressing the challenges and limitations of traditional AAC devices, this research aims to advance accessible communication solutions that empower users and improve quality of life.

DEVELOPMENT OF COHERENT SPEECH AND COMMUNICATION CULTURE OF PRIMARY SCHOOL STUDENTS AT THE LESSONS OF THE LANGUAGE AND LITERATURE EDUCATIONAL FIELD

The article investigates the peculiarities of the development of coherent speech and culture of communication of primary school students in the lessons of language and literature educational branch. The competence-based approach to speech and culture of communication, the emphasis shifts from the language-centred concept to the anthropocentric one, when the development of subject-subject learning is emphasised and a linguistic personality is formed, which possesses a set of abilities and properties that allow creating oral and written speech works, adequately understanding texts addressed to communicators, that is, communicating fully and effectively. The most important means of awakening the child’s self-awareness, stimulating his/her spiritual development, according to the national didactic tradition, is teaching the native language, which is the basis of national and cultural self-identification. One of the main methods of work on coherent speech and culture of communication is practical exercises, which are used in phases: the first phase is the task, which should contain a motive for performing a certain speech action/activity, a speech situation) and explanations of what and how the student should do (orally or in writing; independently or in pairs, in a group; in a notebook or on the board); the second phase is a sample of performance; the third phase is the task performance; the fourth phase is control, which can be either teacher’s control, self-control, or students’ mutual control. The exercises aimed at forming orthoepic, pronunciation, accentological and lexical norms, distinguishing intonation in sentences are systematised. Exercises aimed at studying the peculiarities of figurative meaning will be relevant. Grammatical skills are an integral part of all types of speech activity, the formation, improvement and development of which is the main task of teaching. As a result of working with primary school students using a system of exercises to form a culture of speech, not only does the students’ speech culture improve, but also their memory improves, they develop an attentive, thoughtful attitude to language and books, and the level of spelling literacy and interest in Ukrainian language lessons increases.

Communication-oriented group therapy for non-progressive dysarthria: A randomised controlled trial in an inpatient setting

Purpose To examine the effectiveness of communication-oriented group therapy for non-progressive dysarthria regarding functional speech and communicative participation. Method Prospective two-arm randomised controlled trial, targeting communication-oriented dysarthria group therapy (DGT). A non-specific social group program served as the control condition/group (CG). Participants’ speech was assessed immediately before and after completing the respective three week program, using a standardised diagnostic test (objective outcome measure). Participants rated the extent of their communication participation immediately before and after group therapy, as well as three months after program completion (subjective outcome measure). Result Fifty-six persons aged 40–88 years with mild to severe dysarthria (median duration 29 days) from an inpatient facility participated. Prior to the intervention, self-rated communication participation correlated with severity of dysarthria. Immediately after the intervention, DGT participants achieved significantly higher scores than the CG on both outcome measures. After three months, the difference between groups in the subjective outcome measure was no longer significant. Conclusion Participation in DGT resulted in improved speech and better communication participation. Results suggest that three weeks may be too short to ensure maintenance of treatment gains. Also, reduced opportunity for social interaction due to COVID-19 restrictions may have influenced the results.

KEY ASPECTS OF SPEECH THERAPY FOR VOICE RESTORATION IN CASES OF VOCAL CORD DYSFUNCTION AND FAILURE

This article investigates the underlying causes of vocal fold and hypo dissolution and their pathological impact on the acoustic properties of the voice and respiratory function. It delineates the characteristic symptoms experienced by individuals with vocal fold dysfunction, highlighting the adverse effects on voice quality and communication challenges. It addresses complications associated with vocal fold dysfunction and outlines a structured speech therapy approach to mitigate voice disorders. The therapeutic approach emphasizes integrating interdisciplinary techniques to achieve optimal corrective outcomes. Given its relevance, this issue holds significant importance in both healthcare and pedagogical contexts, particularly in treating and rehabilitating individuals with vocal fold dysfunction.

Exploring adult hearing aid user experiences: meaning extraction methods, content patterns, and associations with demographic and outcome variables

Objective Employing automated language analysis, specifically Meaning Extraction Method (MEM) and Principal Component Analysis (PCA), to identify key factors in open-text responses about hearing aid experiences. Design Exploratory, cross-sectional design, using an online questionnaire. Responses to a single open-ended question were analysed using MEM, PCA, regression, and correlation analyses. Study sample Participants (n = 538) included adult hearing aid users sampled from the Hearing Tracker website community and Lexie Hearing user databases in the United States. Results The MEM-derived items revealed six factors related to hearing aid experiences: (1) life change, (2) social situation, (3) quality of life, (4) impact and speech understanding, (5) communication and interaction, and (6) music and environmental sounds. IOI-HA item 3 had the most statistically significant correlations with PCA factors. Quantile regression revealed that factors one and two significantly predicted the IOI-HA total score. Positive correlations were observed between self-reported hearing difficulty and factors one, four, and five, as well as between factor one and general health and factor two and physical activity. Conclusion Natural language analysis of open-ended textual responses can offer valuable insights into hearing aid users’ experiences. Future studies should aim to refine this methodology to enhance clinical relevance and generalisability.

Prevalent harmonic interaction in the bat inferior colliculus.

Animal vocalizations and human speech are typically characterized by a complex spectrotemporal structure, composed of multiple harmonics, and patterned as temporally organized sequences. However, auditory research often employed simple artificial acoustic stimuli or their combinations. Here we addressed the question of whether the neuronal responses to natural echolocation call sequences can be predicted by manipulated sequences of incomplete constituents at the midbrain inferior colliculus (IC). We characterized the extracellular single-unit activity of IC neurons in the great roundleaf bat, Hipposideros armiger (both sexes), using natural call sequences, various manipulated sequences of incomplete vocalizations, and pure tones. We report that approximately two-thirds of IC neurons exhibited a harmonic interaction. Neurons with high harmonic interactions exhibited greater selectivity to natural call sequences, and the degree of harmonic interaction was robust to the natural amplitude variations between call harmonics. For 81% of the IC neurons, the responses to the natural echolocation call sequence could not be predicted by altered sequences of missing call components. Surprisingly, nearly 70% of the neurons that showed a harmonic interaction were characterized by a single excitatory response peak as revealed by pure tones. Our results suggest that prevalent harmonic processing has already emerged in the auditory midbrain inferior colliculus in the echolocating bat.Significance Statement Auditory cortex has long been suggested to be the main region for processing complex sound such as natural vocalizations. However, this cortex-centered view of complex stimuli processing was largely based on simple stimuli or their combinations, ignoring many crucial aspects of natural communication behaviors. Here, we took a neuroethological perspective to study the harmonic processing in the inferior colliculus, in the great roundleaf bat. We show that prevalent harmonic processing has already emerged in the auditory midbrain in the echolocating bat. Critically, harmonic interactions revealed by natural call sequences cannot be predicted by responses to either pure tones or altered sequences of missing call components. Our data suggest that auditory midbrain is involved in harmonic processing in the echolocating bat.

Cassirer on language, objectivity, and truth

AbstractIn his transcendental approach, Cassirer argues that an objective world is not given and then simply copied by our cognitive faculties; rather, it is gained through the development of symbolic thought and perception. According to Cassirer, language plays a crucial role in this process of objectification. In this paper, the close relationship between language and symbolism in Cassirer’s philosophy will be delineated. This will also shed light on possible distinctions between human speech and animal communication. Furthermore, the relation of language to the different functions of consciousness and to the symbolic forms of myth and science will be addressed. Finally, based on the former considerations of language and objectification, Cassirer’s conceptions of reality and truth will be explicated and critically evaluated. It will be argued that his approach offers several interesting and promising insights but is nonetheless in danger of falling short in explaining the difference between artefacts and natural kinds.

A speech-based convolutional neural network for human body posture classification

Abstract Problem In recent years, computing and sensing advances have helped to develop efficient human posture classification systems, which assist in creating health systems that contribute to enhancing elder’s and disable’s life quality in context-aware and ambient assistive living applications. Other applications of body posture classification include the simulation of human bodies into virtual characters, security applications such as kidnapping and the body position of the kidnapper or victim, which can provide useful information to the negotiator or the rescue team, and other sports applications. Aim This work aims to propose a body posture classification system based on speech using deep learning techniques. Methods All samples pass through the preprocessing phase. The Mel-frequency cepstral coefficient (MFCC) with 12 coefficients was used as features, and the best features were selected by the correlation-based feature selection method. Two supervised learning techniques called artificial hydrocarbon networks (AHN) and convolutional neural networks (CNN) were deployed to efficiently classify body postures and movements. This research aims to detect six human positions through speech, which include walking downstairs, sitting, walking upstairs, running, laying, and walking. The dataset used in this work was prepared by the authors, named the human activity speech dataset. Results The best performance gained was with the AHN classifier of 68.9% accuracy and 67.1% accuracy with the CNN. Conclusion It was concluded that the MFCC features are the most powerful features in body position classification, and the deep learning methods are powerful in classifying body positions.

Employing deep learning model to evaluate speech information in acoustic simulations of Cochlear implants

Acoustic vocoders play a key role in simulating the speech information available to cochlear implant (CI) users. Traditionally, the intelligibility of vocoder CI simulations is assessed through speech recognition experiments with normally-hearing subjects, a process that can be time-consuming, costly, and subject to individual variability. As an alternative approach, we utilized an advanced deep learning speech recognition model to investigate the intelligibility of CI simulations. We evaluated model’s performance on vocoder-processed words and sentences with varying vocoder parameters. The number of vocoder bands, frequency range, and envelope dynamic range were adjusted to simulate sound processing settings in CI devices. Additionally, we manipulated the low-cutoff frequency and intensity quantization of vocoder envelopes to simulate psychophysical temporal and intensity resolutions in CI patients. The results were evaluated within the context of the audio analysis performed in the model. Interestingly, the deep learning model, despite not being originally designed to mimic human speech processing, exhibited a human-like response to alterations in vocoder parameters, resembling existing human subject results. This approach offers significant time and cost savings compared to testing human subjects, and eliminates learning and fatigue effects during testing. Our findings demonstrate the potential of speech recognition models in facilitating auditory research.

Acoustic and Clinical Data Analysis of Vocal Recordings: Pandemic Insights and Lessons.

Background/Objectives: The interest in processing human speech and other human-generated audio signals as a diagnostic tool has increased due to the COVID-19 pandemic. The project OSCAR (vOice Screening of CoronA viRus) aimed to develop an algorithm to screen for COVID-19 using a dataset of Portuguese participants with voice recordings and clinical data. Methods: This cross-sectional study aimed to characterise the pattern of sounds produced by the vocal apparatus in patients with SARS-CoV-2 infection documented by a positive RT-PCR test, and to develop and validate a screening algorithm. In Phase II, the algorithm developed in Phase I was tested in a real-world setting. Results: In Phase I, after filtering, the training group consisted of 166 subjects who were effectively available to train the classification model (34.3% SARS-CoV-2 positive/65.7% SARS-CoV-2 negative). Phase II enrolled 58 participants (69.0% SARS-CoV-2 positive/31.0% SARS-CoV-2 negative). The final model achieved a sensitivity of 85%, a specificity of 88.9%, and an F1-score of 84.7%, suggesting voice screening algorithms as an attractive strategy for COVID-19 diagnosis. Conclusions: Our findings highlight the potential of a voice-based detection strategy as an alternative method for respiratory tract screening.

Classification of Infant Crying Sounds Using SE-ResNet-Transformer

Recently, emotion analysis has played an important role in the field of artificial intelligence, particularly in the study of speech emotion analysis, which can help understand one of the most direct ways of human emotional communication—speech. This study focuses on the emotion analysis of infant crying. Within cries lies a variety of information, including hunger, pain, and discomfort. This paper proposes an improved classification model using ResNet and transformer. It utilizes modified Mel-frequency cepstral coefficient Mel-frequency cepstral coefficient (MFCC) features obtained through feature engineering from infant cries and integrates SE attention mechanism modules into residual blocks to enhance the model’s ability to adjust channel weights. The proposed method achieved 93% accuracy rate in experiments, offering advantages of shorter training time and higher accuracy compared to other traditional models. It provides an efficient and stable solution for infant cry classification.

Multisensory Integration of Native and Nonnative Speech in Bilingual and Monolingual Adults.

Face-to-face speech communication is an audiovisual process during which the interlocuters use both the auditory speech signals as well as visual, oral articulations to understand the other. These sensory inputs are merged into a single, unified process known as multisensory integration. Audiovisual speech integration is known to be influenced by many factors, including listener experience. In this study, we investigated the roles of bilingualism and language experience on integration. We used a McGurk paradigm in which participants were presented with incongruent auditory and visual speech. This included an auditory utterance of 'ba' paired with visual articulations of 'ga' that often induce the perception of 'da' or 'tha', a fusion effect that is strong evidence of integration, as well as an auditory utterance of 'ga' paired with visual articulations of 'ba' that often induce the perception of 'bga', a combination effect that is weaker evidence of integration. We compared fusion and combination effects on three groups ( N = 20 each), English monolinguals, Spanish-English bilinguals, and Arabic-English bilinguals, with stimuli presented in all three languages. Monolinguals exhibited significantly stronger multisensory integration than bilinguals in fusion effects, regardless of the stimulus language. Bilinguals exhibited a nonsignificant trend by which greater experience led to increased integration as measured by fusion. These results held regardless of whether McGurk presentations were presented as stand-alone syllables or in the context of real words.

Evaluating a targeted selective speech, language, and communication intervention at scale – Protocol for the Happy Talk cluster randomised controlled trial.

Background In areas of social disadvantage up to 40–50% of children enter preschool with speech and language skills significantly poorer than would be expected for their age. The Happy Talk trial tests if a community embedded, targeted selective speech and language programme that simultaneously engages with parents and early childhood educators, (1) improves language outcomes in children aged between 2 years 10 months and 6 years and (2) is cost effective for the health care system. Method The Happy Talk trial is a large scale cluster randomised trial of a 12-week manualised intervention delivered in pre/school settings serving socially disadvantaged communities, in Ireland. Seventy-two clusters will receive the intervention (12 participants per cluster). Parents and pre/school staff engage in group training and coaching in the form of 12 1-hour sessions for parents and four staff workshops, over the course of the pre/school year. Training/coaching includes core interaction skills (modelling, expanding, balancing questions and comments), early literacy and phonological awareness. Blinded assessments pre- and immediately post-intervention and at 6 months follow up, will measure the primary outcomes of children’s receptive and expressive language and functional impact, and secondary outcomes of quality of life. Parental responsiveness and educator-child interactions will also be evaluated. Discussion This robust study evaluates a public health approach to the delivery of speech language and communication intervention in the ‘real world’ in the community, which focuses on prevention and equity of access. Pilot work indicates that the programme is feasible, acceptable to parents and staff, cost effective, and suitable for implementation at scale. The trial includes a process evaluation, a well-developed economic evaluation and the outcomes are directly relevant to children, families and educators. This work has the potential to improve the long-term outcomes and life chances of people living in social disadvantage. Trial registration clinicaltrials.gov NCT06460090 Trial Management There is a formal governance structure to oversee the conduct and running of the trial, consisting of a trial management group and a steering committee. More details on the composition, roles and responsibilities of each committee can be found in the supplemental material.

Rapid formation of picture-word association in cats

It is well known that dogs are capable of following human verbal instructions. However, very little is known about the equivalent ability in cats. In this study, we used a switched stimuli task to examine whether cats rapidly form picture-word association, which is a fundamental ability for word learning. We presented cats with two meaningless picture-word combinations, in the habituation phase. Then, on half of the trials we switched the combination (switched condition), but the other half of the trials remained as before (non-switched condition). If cats rapidly form picture-word association, they were expected to look at the monitor for longer in the switched condition, reflecting detection of the change. We used human speech as stimuli in Exp.1, and mechanical sounds (electronic sounds) in Exp.2. Cats expressed detection of the switched combination in Exp.1, where human speech and objects were paired. However, in Exp.2 where non-social sounds and objects were paired, there was no statistical difference between switched and non-switched conditions, although there was a main effect of condition when the data from the two experiments were pooled. These results demonstrate that cats can rapidly form picture-word association. Further research should investigate whether domestication has played a role in this ability.