Sound Errors Research Articles

Speech sound errors in adolescents with congenital hearing loss

Children with hearing impairment (HI) often have vowel and consonant errors. Speech-language pathologists need this information to correct articulation errors. Despite the prevalence of research on speech sound error patterns in hearing aid users, there is a lack of literature in the adolescent group. The present study aimed to investigate the common speech sound errors in HI adolescents from the Malayalam-speaking community who have severe to profound hearing loss and are digital hearing aid users. A total of 15 monolingual Malayalam-speaking children between the ages of 9 and 16 years were recruited who had been diagnosed with speech sound disorders secondary to congenital hearing impairment. The minimum language age for inclusion in the study was over three years. Articulatory error analysis was performed for all consonants and vowels of the Malayalam language, and frequently produced vowel and consonant errors were included in the SODA and PMV analyses. The consonants frequently produced speech sound errors and no vowel errors were found. The most commonly produced consonant errors were fricatives, trills, laterals, velars, and alveolars. Substitution and omission errors were the most common type of error. Place and manner errors were more common than other types of errors. The results of this study may help parents and rehabilitation professionals to understand the common errors that persist even after intensive intervention. It may also be a useful guide for AAC therapists and speech-language pathologists in setting appropriate speech production goals for adolescents with HI.

An identification method of LBL underwater positioning systematic error with optimal selection criterion

Unlike the space targets such as satellites whose observation distance is about the order of 100 km, the measurement distance of long baseline (LBL) underwater positioning system is much shorter. If the noncoincidence between the multiple beacons and the target center is not considered, this systematic error will cause a little larger positioning error. Therefore, aiming at the situation that multiple beacons are installed outside the target and the distance between the beacons and the target center is significant, a multi-beacon positioning model of the LBL underwater system is constructed in this paper. Furthermore, for the sound speed systematic error and the time of arrival (TOA) systematic error in the multi-beacon LBL system positioning measurement data, three identification models of systematic error are constructed. According to the positioning process of the LBL underwater system, the expression of the optimal test statistic D is derived based on the TOA residual. Finally, the optimal selection criterion is given, and the underwater target position and systematic error can be accurately estimated. Both of the numerical simulation and the underwater positioning test show that the appropriate identification model of systematic error in the measurement data can be selected according to the optimal selection criterion, and the underwater target positioning accuracy of the LBL system can be improved.

Simulated analysis and experimental validation of sound field distribution regularity for a large-scale non-anechoic harbor pool

The large-scale underwater space, such as large water pool or large-scale harbor pool can provide a good experimental environment for the measurement of the underwater radiated noise of vessel. However, it's not as simple as measuring the sound power of a small machine in the air, the measurement and evaluation of the low frequency mechanical noise and radiated sound power of vessel requires a specific reverberation environment in the large-scale underwater space. Therefore, in this paper, the reverberant sound field characteristics of large-scale underwater space are simulated and calculated by finite element analysis, and experimental measurements are carried out in the large-scale harbor pool. It was found the cut-off frequency of large-scale underwater space depends on the depth of the water pool, and the lower limit frequency depends on the volume of the water pool. The dock door does not reduce the spatial average sound pressure in the reverberation sound field, the floating box platform does not effect on the cut-off frequency but has an effect on the sound energy of the reverberant sound field. It is possible to select the appropriate underwater experimental environment for the measurement and evaluation of different mechanical noise sources. The sound pressure level obtained by calculating the sound source at different locations in the reverberation area is basically the same, and in a 16 × 22 hydrophone arrays, more than 160 array elements are selected, each between 0.25 m and 1 m, a stable sound pressure level can be obtained through spatial averaging. Through experimental measurement verification in the large-scale harbor pool, low-frequency sound sources are emitted from 6 different positions, three hydrophone arrays data are collected, and the measured sound pressure level error is within 1.4 dB. These conclusions are conducive to the actual measurement and evaluation of noise sources of vessel.

Speech sound error patterns may signal language disorder in Swedish preschool children with autism.

Within cohorts of children with autism spectrum disorder (ASD) there is considerable variation in terms of language ability. In the past, it was believed that children with ASD either had delayed articulation and phonology skills or excelled in those areas compared to other language domains. Very little is known about speech sound ability in relation to language ability and non-verbal ability in Swedish preschool children with ASD. The current study aimed to describe language variation in a group of 4-6-year-old children with ASD, focusing on in-depth analyses of speech sound error patterns with and without non-phonological language disorder and concomitant non-verbal delays. We examined and analysed the speech sound skills (including consonant inventory, percentage of correct consonants and speech sound error patterns) in relation to receptive language skills in a sample of preschool children who had screened positive for ASD in a population-based screening at 2.5 years of age. Seventy-three children diagnosed with ASD participated and were divided into subgroups based on their receptive language (i.e., non-phonological language) and non-verbal abilities. The subgroup division revealed that 29 children (40%) had language delay/disorder without concurrent non-verbal general cognitive delay (ALD), 27 children (37%) had language delay/disorder with non-verbal general cognitive delay (AGD), and 17 children (23%) had language and non-verbal abilities within the normal range (ALN). Results revealed that children with ALD and children with AGD both had atypical speech sound error patterns significantly more often than the children with ALN. This study showed that many children who had screened positive for ASD before age 3 years - with or without non-verbal general cognitive delays - had deficits in language as well as in speech sound ability. However, individual differences were considerable. Our results point to speech sound error patterns as a potential clinical marker for language problems (disorder/delay) in preschool children with ASD. What is already known on the subject Children with autism spectrum disorder (ASD) have deficits in social communication, restricted interests and repetitive behaviour. They show very considerable variation in both receptive and expressive language abilities. Previously, articulation and phonology were viewed as either delayed in children with ASD or superior compared with other (non-phonological) language domains. What this paper adds to existing knowledge Children with ASD and language disorders also have problems with speech sound error patterns. What are the potential or actual clinical implications of this work? About 75% of children with ASD experience language delays/disorders, as well as speech sound problems, related to speech sound error patterns. Understanding/acknowledging these phonological patterns and their implications can help in the diagnosis and intervention of speech sound disorders in children with ASD. Direct intervention targeting phonology might lead to language gains, but more research is needed.

Speech Recognition and Spatial Hearing in Young Adults With Down Syndrome: Relationships With Hearing Thresholds and Auditory Working Memory.

Individuals with Down syndrome (DS) have a higher incidence of hearing loss (HL) compared with their peers without developmental disabilities. Little is known about the associations between HL and functional hearing for individuals with DS. This study investigated two aspects of auditory functions, "what" (understanding the content of sound) and "where" (localizing the source of sound), in young adults with DS. Speech reception thresholds in quiet and in the presence of interferers provided insight into speech recognition, that is, the "what" aspect of auditory maturation. Insights into "where" aspect of auditory maturation were gained from evaluating speech reception thresholds in colocated versus separated conditions (quantifying spatial release from masking) as well as right versus left discrimination and sound location identification. Auditory functions in the "where" domain develop during earlier stages of cognitive development in contrast with the later developing "what" functions. We hypothesized that young adults with DS would exhibit stronger "where" than "what" auditory functioning, albeit with the potential impact of HL. Considering the importance of auditory working memory and receptive vocabulary for speech recognition, we hypothesized that better speech recognition in young adults with DS, in quiet and with speech interferers, would be associated with better auditory working memory ability and receptive vocabulary. Nineteen young adults with DS (aged 19 to 24 years) participated in the study and completed assessments on pure-tone audiometry, right versus left discrimination, sound location identification, and speech recognition in quiet and with speech interferers that were colocated or spatially separated. Results were compared with published data from children and adults without DS and HL, tested using similar protocols and stimuli. Digit Span tests assessed auditory working memory. Receptive vocabulary was examined using the Peabody Picture Vocabulary Test Fifth Edition. Seven participants (37%) had HL in at least 1 ear; 4 individuals had mild HL, and 3 had moderate HL or worse. Participants with mild or no HL had ≥75% correct at 5° separation on the discrimination task and sound localization root mean square errors (mean ± SD: 8.73° ± 2.63°) within the range of adults in the comparison group. Speech reception thresholds in young adults with DS were higher than all comparison groups. However, spatial release from masking did not differ between young adults with DS and comparison groups. Better (lower) speech reception thresholds were associated with better hearing and better auditory working memory ability. Receptive vocabulary did not predict speech recognition. In the absence of HL, young adults with DS exhibited higher accuracy during spatial hearing tasks as compared with speech recognition tasks. Thus, auditory processes associated with the "where" pathways appear to be a relative strength than those associated with "what" pathways in young adults with DS. Further, both HL and auditory working memory impairments contributed to difficulties in speech recognition in the presence of speech interferers. Future larger-sized samples are needed to replicate and extend our findings.

Spike-phase coupling of subthalamic neurons to posterior opercular cortex predicts speech sound accuracy.

Speech provides a rich context for understanding how cortical interactions with the basal ganglia contribute to unique human behaviors, but opportunities for direct intracranial recordings across cortical-basal ganglia networks are rare. We recorded electrocorticographic signals in the cortex synchronously with single units in the basal ganglia during awake neurosurgeries where subjects spoke syllable repetitions. We discovered that individual STN neurons have transient (200ms) spike-phase coupling (SPC) events with multiple cortical regions. The spike timing of STN neurons was coordinated with the phase of theta-alpha oscillations in the posterior supramarginal and superior temporal gyrus during speech planning and production. Speech sound errors occurred when this STN-cortical interaction was delayed. Our results suggest that the STN supports mechanisms of speech planning and auditory-sensorimotor integration during speech production that are required to achieve high fidelity of the phonological and articulatory representation of the target phoneme. These findings establish a framework for understanding cortical-basal ganglia interaction in other human behaviors, and additionally indicate that firing-rate based models are insufficient for explaining basal ganglia circuit behavior.

Indonesian Sound Errors in Television Advertisements

Language sound errors at the phonological level. Phonemes or language sounds in Indonesian consist of vowels, consonants, diphthongs 'double vowels', and clusters 'consonant groups'. Differences in phonemes will change standard language varieties into non-standard ones. Phonological problems occur because vowel, consonant or diphthong phonemes change into other phonemes, thereby changing standard language into non-standard ones. This research aims to analyze language sound errors, namely deletions, additions and changes in vowel phonemes, consonant phonemes, combined vowel phonemes and combined consonant phonemes. This study used descriptive qualitative method. The data collection technique for this research is by listening and using the language watched in Indonesian television advertisements. This data analysis technique consists of (1) data collection (2) data reduction, (3) data presentation (4) interesting conclusions. The results of data analysis of Indonesian language sound errors in Television Advertisements are language sound errors in Indonesian consisting of vowels, consonants, diphthongs 'double vowels', and 'consonant clusters' clusters due to errors in language use that do not match Indonesian Spelling (EBI) . Errors in Indonesian sounds or pronunciation that occur in television advertisements like this occur due to ignorance or on purpose so that the advertisement displayed will attract the attention of consumers or people who see, watch and listen to it.

A differential-based method for correcting ultra-short baseline positioning results

The primary factors influencing the positional accuracy of an ultra-short baseline (USBL) system are errors in sound speed, delay, installation deviation, and the bending of sound rays. Premised on the USBL positioning model, an error contribution model including ranging error, delay error, sound speed error and array element installation deviation was constructed. In parallel, an indirect difference correction method with additional coefficients was proposed based on the geometric correlation of the error function model. Specifically, a reference beacon was deployed on the seabed, and differential correction was achieved by directly computing target coordinates, integrating them with the positional data from the reference beacon. The proposed method demonstrated efficacy in mitigating errors associated with gradual variations or pronounced geometric correlations, including discrepancies in sound speed, bending of sound rays, and deviations in the installation of array elements. The correction method was applied to the USBL positioning, and the simulation results show that the proposed method notably enhanced both accuracy and consistency in positioning, particularly in shallow water environments characterised by significant sound speed errors. The sea trial data from the R/V Dayang Yihao in the Western Pacific demonstrate that the proposed method can effectively mitigate the errors induced by sound ray bending in deep-sea environments. The mean absolute error (MAE) and standard deviation (STD) were reduced by 51.3% and 55.3%, respectively, compared with the results of the USBL direct solution.

Print-Rich Speech Sound Therapy Sessions: The Theory Behind It and Plans for Implementation

Purpose: Print knowledge is a powerful predictor of later reading abilities, which are crucial to children's academic success. Children with speech sound disorders (SSDs) are at risk for literacy difficulties. Speech sound therapy is an opportune time to address not only speech sound production but also the connections between speech sounds and their associated letters and letter patterns. This tutorial aims to provide a rich source of evidence to support the use of print and print-referencing in speech sound therapy sessions. We include feasible suggestions for speech-language pathologists (SLPs) to facilitate print-rich experiences for children with SSDs. Incorporating orthography into therapy sessions, through activities such as shared book reading, allows SLPs to address speech sound errors while supporting children's literacy development. Conclusions: This tutorial provides an overview of the risk of literacy deficits in children with SSDs and describes the theoretical underpinnings of why incorporating print is a powerful learning tool. We expand on the research behind print referencing in preschool classrooms. Finally, we provide detailed examples, including book lists and therapy ideas for a variety of ages, to help SLPs add print referencing to their therapy toolkit.

Impact of Bilingualism on Speech Sound Disorder/ Articulatory and Phonological Disorders

Impact of Bilingualism on Speech Sound Disorder/ Articulatory and Phonological Disorders

Assessing the Phonological Abilities of Jordanian Arabic-speaking Children with Phonological Disorders

Objectives: This study investigated the validity of four language measures, i.e., phonological mean length of utterance (PMLU), the proportion of whole-word proximity (PWP), the proportion of whole-word correctness (PWC), and percentage of correct consonants, in assessing phonological development in Jordanian Arabic (JA) speaking children with phonological disorders in comparison with typically developing (TD) children.Methods: The study involved 88 monolingual JA-speaking children within the age range of 5 to 6 years, with 44 children diagnosed with phonological disorders and 44 TD children. Each group was further categorized into two age groups, namely 5;0-5;6 and 5,7-6,0. Data were gathered by observing the interactions between the children and their caregivers or parents using age-appropriate toys. A minimum of 100 utterances were collected from each participant.Results: The study found that TD children performed better than the children with phonological disorders on all measures, indicating delayed phonological performance in the phonological disorders group. Positive correlations between the measures were also observed, indicating their ability to provide significant information about children’s phonological abilities. Specific speech sound errors and substitution patterns exhibited by children with phonological disorders were identified, highlighting the motor control and articulatory challenges experienced by this group. Age was found to be a significant factor in the development of TD children, while children with phonological disorders showed similar scores across different age groups.Conclusion: These findings support the usage of the four measures for understanding phonological development in children with phonological disorders, accurately diagnosing them and tracking their progress.

Uncovering Hidden Dependencies: Constructing Intelligible Path Witnesses using Dataflow Analyses

The lack of sound, concise and comprehensive error reports emitted by a static analysis tool can cause increased fixing cost, bottleneck at the availability of experts and even may undermine the trust in static analysis as a method. This paper presents novel techniques to improve the quality of bug reports for static analysis tools that employ symbolic execution. With the combination of data and control dependency analysis, we can identify the relevance of particular code snippets that were previously missing from the report. We demonstrated the benefits of our approach by implementing an improved bug report generator algorithm for the Clang Static Analyzer. After being tested by the open source community our solution became enabled by default in the tool.

Multizone sound field reproduction using pressure matching with sparse equivalent source

Multizone sound field reproduction aims to create different acoustic environments in multiple spatial zones, allowing listeners to enjoy their individual sounds without being disturbed by sound from other zones. The conventional pressure matching method is used in practice to reproduce the desired sound field by minimizing the sound field error with a limited number of control points, whose reproduction performance decreases above the cutoff frequency. In this paper, a multizone sound field reproduction method based on a sparse equivalent source method is proposed to reproduce the sound field in the whole target region. The acoustic transfer function of each loudspeaker and the desired sound field are represented by the sparse equivalent sources. The whole target region is controlled by interpolating fine virtual control points within the region of the uncontrolled points, and the acoustic transfer functions between the virtual control points and the loudspeaker array are interpolated by the sparse equivalent sources. An optimization reproduction model with the objective of reproducing a desired sound field in the bright zone and constraining the acoustic energy in the dark zone is formulated to find the sparse loudspeaker weights. The simulation results and experimental results show that the proposed method achieves better performance than the conventional pressure matching method in free field and reverberant environments.

Investigation of machine-learning-based stimuli for the remediation of children’s speech errors

Children with speech sound disorders (SSDs) demonstrate difficulty producing phonemes correctly and may exhibit poor speech perception compared to their age-matched peers; however, group differences in speech perception skills remain largely unexplained. Developmental models of speech production posit that children’s ability to discriminate correct and incorrect productions in their own speech may be critical for developing accurate speech production. Historically, when children regularly mispronounce a phoneme, it has been essentially impossible to assess whether they perceive correct versus errors productions in their own speech, thus creating a clinical conundrum. How can we assess a child’s ability to perceive the accuracy of their own phoneme production when they cannot produce a correct production? Recent technological developments allow for acoustic alteration of children’s speech that digitally corrects speech sound errors while preserving natural characteristics of the child’s voice. This machine-learning-based stimuli may then be used as training and feedback tokens for remediation when treating children with speech sound disorders. Such acoustic alteration is possible within an accessible, user-friendly environment that is clinically feasible for speech-language pathologists with little acoustic training. Thus, the purpose of this study is to evaluate the acoustic and perceptual accuracy of acoustically-altered child-speech compared to natural speech tokens.

Analysis of Artistic Instruction and Emotional Expression Pathways in College Piano Performance in the Internet Era

Abstract As computer science advances, it intersects intriguingly with the realm of music acoustics, particularly in enhancing piano performance through technological means. This paper delves into an innovative approach to piano learning and creation, focusing on emotional expression’s nuances. We have devised a system capable of precise musical tone recognition and sound quality evaluation by adopting Mel Frequency Cepstral Coefficients (MFCC) for the nuanced extraction of piano sounds and integrating dynamic fuzzy neural networks. Our findings show an impressive accuracy rate, with musical tone misidentification below 2.58% and sound quality assessment errors within a 5% margin. This work not only sets a new benchmark in piano performance analysis but also paves the way for revolutionary teaching methods in music education, with profound implications for artistic instruction and emotional expression.

Assessing Phonological Processing in Children With Speech Sound Disorders

Purpose: Phonological processing skills, or using phoneme knowledge to process language, in preschool- and kindergarten-age children are an important indicator of children's future reading abilities. However, assessing phonological processing skills can be difficult in children with speech sound disorders because scoring often requires that children produce speech sound accurately. This tutorial presents assessment tasks that are appropriate for children with speech sound disorders to better identify children with phonological processing difficulties. Conclusions: The following phonological processing assessment tasks are recommended for children with speech sound disorders: receptive tasks for phonological awareness, the Syllable Repetition Task for phonological memory, and limited letter choices for rapid automatized naming in phonological retrieval tasks. These tasks can be modified for multilingual children. Appropriate assessment of phonological processing skills will help speech-language pathologists in differential diagnosis of children with true phonological processing difficulties and children whose speech sound errors may mask phonological processing abilities. Assessment of phonological processing skills is particularly important for children with speech sound disorders, whose speech errors may be evidence of phonological processing difficulties.

Toward a dynamic national transportation noise map: Modeling temporal variability of traffic volume.

The National Transportation Noise Map (NTNM) gives time-averaged traffic noise across the continental United States (CONUS) using annual average daily traffic. However, traffic noise varies significantly with time. This paper outlines the development and utility of a traffic volume model which is part of VROOM, the Vehicular Reduced-Order Observation-based model, which, using hourly traffic volume data from thousands of traffic monitoring stations across CONUS, predicts nationwide hourly varying traffic source noise. Fourier analysis finds daily, weekly, and yearly temporal traffic volume cycles at individual traffic monitoring stations. Then, principal component analysis uses denoised Fourier spectra to find the most widespread cyclic traffic patterns. VROOM uses nine principal components to represent hourly traffic characteristics for any location, encapsulating daily, weekly, and yearly variation. The principal component coefficients are predicted across CONUS using location-specific features. Expected traffic volume model sound level errors-obtained by comparing predicted traffic counts to measured traffic counts-and expected NTNM-like errors, are presented. VROOM errors are typically within a couple of decibels, whereas NTNM-like errors are often inaccurate, even exceeding 10 decibels. This work details the first steps towards creation of a temporally and spectrally variable national transportation noise map.

Long-Term Outcomes for Individuals With Childhood Apraxia of Speech.

The study's primary aims were to describe the long-term speech outcomes for adolescents and young adults with a history of childhood apraxia of speech (CAS) and to examine the association of persistent speech sound errors with measures of literacy skills, phonological processing, motor speech production, and parent report of early motor difficulty. Data from a large longitudinal 25-year study were used to explore outcomes for 32 individuals with a history of CAS, ages 12;6 (years;months) to 25 years (M = 17.4, SD = 4.7). Persistent and nonpersistent groups were compared on decoding, phonological processing, multisyllabic word repetition, diadochokinetic rate, and parent report of motor involvement. Parametric (Welch's t tests) and nonparametric tests (Wilcoxon and Fisher exact tests) were used to identify differences between the groups' distributions. Developmental trajectories of speech production were plotted. Outcomes for individuals with CAS are highly variable, with some demonstrating speech sound errors into adolescence and young adulthood. Speech sound errors were primarily on later developing sounds. Persistence was significantly associated with early motor difficulties. Difficulties with multisyllabic words, phonological processing, and literacy were often present regardless of persistence or nonpersistence of speech errors. Children with CAS are at risk for persistent speech sound errors into adulthood. For children showing limited progress with more traditional speech therapy, alternative interventions should be explored. Individuals with persistent speech sound errors are more likely to have a history of early motor deficits. Regardless of persistence, participants with CAS demonstrated ongoing weaknesses in literacy, phonological processing skills, and complex speech production tasks.

Correcting for bias effects due to exposure uncertainty in community noise exposure-response analyses.

A method for correcting the relationship-distorting effects of sound level uncertainty on community noise exposure-response investigations is presented. The method employs a "calibration model," which describes how the true exposure-response relationship becomes distorted (shallower) in the presence of sound level uncertainty and other factors. This model was incorporated in a maximum likelihood estimation procedure that solves for the coefficient values that would have been observed in the absence of sound level measurement error. Three interacting situational variables known to attenuate the slopes of fitting functions were incorporated in the model: the sample population sound level uncertainty, the sound level range, and the distribution of sound levels over that range. The method provided unbiased estimates of the slope and intercept when the calibration parameter values were known exactly. Sensitivity to inexact knowledge of the values was also examined. Although the bias effect could be removed, uncertainty in the solved regression coefficients increased with increasing predictor variable (sound level) uncertainty and with data set displacement from the asymptote.

Model and prediction relationship of sound velocity and porosity of seafloor sediments

The relationship between sound velocity and porosity in seafloor sediments is widely utilized for predicting or inverting sediment acoustical and physical parameters. This paper analyzes the theoretical relationship between sound velocity and porosity using the General Model of Sound Speed (GMSS). The GMSS model elucidates an empirical equation relationship in the form of a quadratic fitted polynomial based on actual measurement data from the South China Sea. The accuracy of the GMSS model and the regression empirical equation are found to be consistent, as demonstrated by the relative error, absolute error, and standard deviation of the sound velocity predictions. Our findings suggest that if the scattering of measured data is inherent to seafloor sediment, the empirical equation fails to adequately explain sediment variations and lacks broad applicability for accurate prediction and calculation. Additionally, we observe that a ± 5% relative error in porosity has minimal impact on the application of the GMSS model and empirical equations for predicting sound velocity errors. However, the empirical equation, relying solely on the porosity parameter, inadequately accounts for sound velocity scattering in seafloor sediments with the same porosity due to inherent limitations. In contrast, the GMSS model can incorporate additional physical parameters beyond porosity to better explain and predict sound velocity in seafloor sediments scattering in seafloor sediments with the same porosity, albeit with increased complexity. This paper provides an analytical method and theoretical foundation for inverting or predicting the relationship between sound velocity and porosity of seafloor sediments.