Loud Speech Research Articles

The Impact of Clear and Loud Speech Cues on Acoustic and Perceptual Features of Speech Production in Adolescents With Down Syndrome

Purpose: There are few evidence-based speech interventions designed to alter speech production in a way that ultimately results in increased speech intelligibility in adolescents with Down syndrome (DS). The primary purpose of this study was to examine the impact of clear and loud speech cues on acoustic and perceptual features of speech production in adolescents with DS. Method: Eight adolescents diagnosed with DS repeated sentences of varying lengths in three conditions: habitual, big mouth (i.e., clear speech), and strong voice (i.e., loud speech). Four hundred eighty adult listeners (20 listeners per adolescent per condition) provided orthographic transcriptions of adolescent's speech, which were used to calculate intelligibility scores. Acoustic measures of speech rate, articulation rate, proportion of time spent pausing, vocal intensity, and fundamental frequency were calculated for each sentence. Results: The big mouth condition resulted in significantly increased intelligibility, slowed speech and articulation rates, increased pauses, increased vocal intensity, and increased fundamental frequency. The strong voice condition resulted in significantly increased vocal intensity and fundamental frequency, but no other changes. Speech rate was the only variable that explained any of the variance in intelligibility. Conclusions: Adolescents with DS respond differently to clear and loud speech cues. In particular, clear speech cues resulted in significant increases in intelligibility, but loud speech cues did not. Clear speech cues hold promise as an intervention strategy for adolescents with DS.

The Relationship between Intensity of Gadget Use and Speech and Language Development in Toddlers

Background : The alpha generation are those born after 2010, who are claimed to be the smartest generation because they were born and grew up in an era of rapid technological and internet development. So that we can find many toddlers who are familiar with gadgets. However, excessive use of gadgets will reduce toddler interaction with the environment and toddlers rarely communicate with people around them, this naturally disrupts the process of toddler speech and language development. Objective: This study aims to analyze the relationship between the intensity of gadget use and the development of speech and language aspects in toddlers in Wameo Village, Baubau City. Method: This study is an observational analytic type with a cross sectional approach. This study used 77 samples taken using purposive sampling technique which were then measured using a questionnaire. Result: The results showed that toddlers who used gadgets with mild intensity experienced normal speech and language development, 10.4% of toddlers who used gadgets with moderate intensity experienced delays, and 33.8% who used gadgets with severe intensity experienced delays. Hypothesis testing using the Chi-Square Test obtained a p-velue value of 0.000 (P <0.05). Conclusion: In conclusion, there is a significant relationship between the intensity of gadget use and delayed speech and language development in toddlers in Wameo Village, Baubau City.

Active piezoelectric bone conduction implant Osia® 2 - evaluation of surgery and one-year audiological and quality of life benefits.

To present the surgical outcomes and one-year audiological and quality of life results of implantation of the Osia®2 active piezoelectric bone conduction implant. Twenty adults with mixed and conductive hearing loss were implanted with the Osia® 2 system and followed up for at least one year. The surgical course, healing, and soft tissue condition were assessed. Audiometric tests included pure tone audiometry, speech audiometry and direct bone conduction measurements. Participants completed the APHAB and SSQ questionnaires. All surgeries were successful. No soft tissue problems were observed. Pure tone audiometry showed a mean functional gain of 47.4 ± 5.6 dB HL (p = 0.000089). The Polish Monosyllabic Word Test showed mean improvements for silent, medium and loud speech of 59.5 ± 1.8%, 46.5 ± 32.3% and 13.3 ± 20.9% in quiet and 38.5 ± 24.4%, 62.0 ± 9.1%, and 36.5 ± 34.4% in noise (all p < 0.05). The Polish Matrix Test indicated a mean SNR improvement of 8.78 ± 2.31 dB SPL (p = 0.000155). BC in situ measurements were significantly better post-implantation compared to preoperative levels with Baha®6Max on the Softband. APHAB scores showed significant improvements in global, ease of communication, background noise and reverberation scores (all p < 0.001). SSQ scores improved significantly in speech, spatial and quality subscales (all p < 0.000001). The Osia®2 implantation is an effective treatment for patients with mixed and conductive hearing loss. The surgery is relatively easy and safe, with no significant postoperative or magnet pressure-related complications. Osia®2 significantly improves speech understanding in noise and reduces communication problems.

Emotion Classification from Speech Waveform Using Machine Learning and Deep Learning Techniques

Emotions play a key role in determining the human mental state and indirectly express an individual’s well- being. A speech emotion recognition system can extract a person’s emotions from his/her speech inputs. There are some universal emotions such as anger, disgust, fear, happiness, pleasantness, sadness and neutral. These emotions are of significance especially in a situation like the Covid pandemic, when the aged or sick are vulnerable to depression. In the current paper, we examined various classification models with finite computational strength and resources in order to determine the emotion of a person from his/her speech. Speech prosodic features like pitch, loudness, and tone of speech, and work spectral features such as Mel Frequency Capstral Coefficients (MFCCs) of the voice were used to analyze the emotions of a person. Although sequence to sequence state of the art models for speech detection that offer high levels of accuracy and precision are currently in use, the computational needs of such approaches are high and inefficient. Therefore, in this work, we emphasised analysis and comparison of different classification algorithms such as multi layer perceptron, decision tree, support vector machine, and deep neural networks such as convolutional neural network and long short term memory. Given an audio file, the emotions that were exhibited by the speaker were recognized using machine learning and deep learning techniques. A comparative study was performed to identify the most appropriate algorithms that could be used to recognize emotions. Based on the experiment results, the MLP classifier and convolutional neural network model offered better accuracy with smaller variations when compared with other models used for the study.

The effect of two speech and language approaches on speech problems in people with Parkinson's disease: the PD COMM RCT.

Speech impairments are common with Parkinson's disease (reported prevalence 68%), increasing conversational demands, reliance on family and social withdrawal. The PD COMM trial compared the clinical and cost-effectiveness of two speech and language therapy approaches: Lee Silverman Voice Treatment LOUD and National Health Service speech and language therapy for the treatment of speech or voice problems in people with Parkinson's disease to no speech and language therapy (control) and against each other. PD COMM is a phase III, multicentre, three-arm, unblinded, randomised controlled trial. Participants were randomised in a 1 : 1 : 1 ratio to control, National Health Service speech and language therapy or Lee Silverman Voice Treatment LOUD via a central computer-generated programme, using a minimisation procedure with a random element, to ensure allocation concealment. Mixed-methods process and health economic evaluations were conducted. United Kingdom outpatient and home settings. People with idiopathic Parkinson's disease, with self-reported or carer-reported speech or voice problems. We excluded people with dementia, laryngeal pathology and those within 24 months of previous speech and language therapy. The Lee Silverman Voice Treatment LOUD intervention included maximum effort drills and high-effort speech production tasks delivered over four 50-minute therapist-led personalised sessions per week, for 4 weeks with prescribed daily home practice. National Health Service speech and language therapy content and dosage reflected local non-Lee Silverman Voice Treatment speech and language therapy practices, usually 1 hour, once weekly, for 6 weeks. Trained, experienced speech and language therapists or assistants provided interventions. The control was no speech and language therapy until the trial was completed. Primary outcome: Voice Handicap Index total score at 3 months. Secondary outcomes: Voice Handicap Index subscales, Parkinson's Disease Questionnaire-39; Questionnaire on Acquired Speech Disorders; EuroQol-5D-5L; ICEpop Capabilities Measure for Older Adults; Parkinson's Disease Questionnaire - Carers; resource utilisation; and adverse events. Assessments were completed pre-randomisation and at 3, 6 and 12 months post randomisation. Three hundred and eighty-eight participants were randomised to Lee Silverman Voice Treatment LOUD (n = 130), National Health Service speech and language therapy (n = 129) and control (n = 129). The impact of voice problems at 3 months after randomisation was lower for Lee Silverman Voice Treatment LOUD participants than control [-8.0 (99% confidence interval: -13.3, -2.6); p = 0.001]. There was no evidence of improvement for those with access to National Health Service speech and language therapy when compared to control [1.7 (99% confidence interval: -3.8, 7.1); p = 0.4]. Participants randomised to Lee Silverman Voice Treatment LOUD reported a lower impact of their voice problems than participants randomised to National Health Service speech and language therapy [99% confidence interval: -9.6 (-14.9, -4.4); p < 0.0001]. There were no reports of serious adverse events. Staff were confident with the trial interventions; a range of patient and therapist enablers of implementing Lee Silverman Voice Treatment LOUD were identified. The economic evaluation results suggested Lee Silverman Voice Treatment LOUD was more expensive and more effective than control or National Health Service speech and language therapy but was not cost-effective with incremental cost-effectiveness ratios of £197,772 per quality-adjusted life-year gained and £77,017 per quality-adjusted life-year gained, respectively. The number of participants recruited to the trial did not meet the pre-specified power. People that had access to Lee Silverman Voice Treatment LOUD described a significantly greater reduction in the impact of their Parkinson's disease-related speech problems 3 months after randomisation compared to people that had no speech and language therapy. There was no evidence of a difference between National Health Service speech and language therapy and those that received no speech and language therapy. Lee Silverman Voice Treatment LOUD resulted in a significantly lower impact of voice problems compared to National Health Service speech and language therapy 3 months after randomisation which was still present after 12 months; however, Lee Silverman Voice Treatment LOUD was not found to be cost-effective. Implementing Lee Silverman Voice Treatment LOUD in the National Health Service and identifying alternatives to Lee Silverman Voice Treatment LOUD for those who cannot tolerate it. Investigation of less costly alternative options for Lee Silverman Voice Treatment delivery require investigation, with economic evaluation using a preference-based outcome measure that captures improvement in communication. This study is registered as ISRCTN12421382. This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 10/135/02) and is published in full in Health Technology Assessment; Vol. 28, No. 58. See the NIHR Funding and Awards website for further award information.

Tipping the Scales: Indiscriminate Use of Interval Scales to Rate Diverse Dysarthric Features.

Error related to incorrect use of rating scales is problematic in the assessment and treatment of dysarthria. The main purpose of this project was to determine scale fit for cardinal speech features of hypokinetic dysarthria. A secondary aim was to determine rater reliability for the two different scales explored. Forty-three speakers with Parkinson's disease (PD) and 25 neurologically healthy control talkers were recorded reading sentences from the Speech Intelligibility Test. Twenty-two healthy female listeners used both an equal appearing interval (EAI) scale and a direct magnitude estimation (DME) scale to rate five perceptual speech features (i.e., overall speech severity, articulatory imprecision, reduced loudness, short rushes of speech, and monotony) from these recordings. Regression analyses were used to determine the linearity of the relationship between the means of the EAI and DME ratings. Inter- and intrarater reliability was calculated using intraclass correlation coefficients and Spearman's correlation coefficients, respectively, for both EAI and DME ratings. There was a linear relationship between EAI and DME means for monotony, indicating it is a metathetic dimension. Curvilinear relationships were observed between the EAI and DME means for the other four features, indicating prothetic dimensions. Intra- and interrater reliability values were similar for EAI and DME ratings. Overall, results of this work suggest that DME is the best fit for scaling several hypokinetic dysarthria features, and not the conventionally used EAI scale. Prothetic dimensions best scaled by DME include overall speech severity, articulatory imprecision, reduced loudness, and short rushes of speech. Monotony was the only feature found to be a metathetic dimension and would be best scaled using EAI or DME. Findings call for rethinking the widespread use of EAI scales for rating perceptual features as part of the assessment and treatment of motor speech disorders.

Artificial Intelligence-Assisted Speech Therapy for /ɹ/: A Single-Case Experimental Study.

This feasibility trial describes changes in rhotic production in residual speech sound disorder following ten 40-min sessions including artificial intelligence (AI)-assisted motor-based intervention with ChainingAI, a version of Speech Motor Chaining that predicts clinician perceptual judgment using the PERCEPT-R Classifier (Perceptual Error Rating for the Clinical Evaluation of Phonetic Targets). The primary purpose is to evaluate /ɹ/ productions directly after practice with ChainingAI versus directly before ChainingAI and to evaluate how the overall AI-assisted treatment package may lead to perceptual improvement in /ɹ/ productions compared to a no-treatment baseline phase. Five participants ages 10;7-19;3 (years;months) who were stimulable for /ɹ/ participated in a multiple (no-treatment)-baseline ABA single-case experiment. Prepractice activities were led by a human clinician, and drill-based motor learning practice was automated by ChainingAI. Study outcomes were derived from masked expert listener perceptual ratings of /ɹ/ from treated and untreated utterances recorded during baseline, treatment, and posttreatment sessions. Listeners perceived significantly more rhoticity in practiced utterances after 30 min of ChainingAI, without a clinician, than directly before ChainingAI. Three of five participants showed significant generalization of /ɹ/ to untreated words during the treatment phase compared to the no-treatment baseline. All five participants demonstrated statistically significant generalization of /ɹ/ to untreated words from pretreatment to posttreatment. PERCEPT-clinician rater agreement (i.e., F1 score) was largely within the range of human-human agreement for four of five participants. Survey data indicated that parents and participants felt hybrid computerized-clinician service delivery could facilitate at-home practice. This study provides evidence of participant improvement for /ɹ/ in untreated words in response to an AI-assisted treatment package. The continued development of AI-assisted treatments may someday mitigate barriers precluding access to sufficiently intense speech therapy for individuals with speech sound disorders. https://doi.org/10.23641/asha.26662807.

Study of word-in-noise perception scores at saccular acoustic sensitivity level: randomized clinical trial

BackgroundIn humans, saccular acoustic sensitivity has been confirmed. The aim of this study was to determine the scores of the word-in-noise perception test at the saccular acoustic sensitivity level.MethodologyIn this randomized clinical trial study, 101 participants in the age group of 14 to 25 years with normal hearing and middle ear function, detectable vestibular evoked myogenic potentials (VEMP), normal states of mental health, and night sleep were investigated. The scores of word-in-noise perception and word-in-noise discrimination tests were evaluated for each person at two intensity levels, most comfortable level (MCL) and saccular acoustic sensitivity. Mann-Whitney was used for the multiple comparisons.ResultsThere was a significant difference between the scores of the word-in-noise perception test at MCL and saccular acoustic sensitivity (U = 3971.50, Z = − 2.10, p’ = 0.04), and also between the scores of the word-in-noise discrimination test at the MCL compared to saccular acoustic sensitivity (U = 399.89, Z = − 2.49, p’ = 0.04). Word-in-noise discrimination scores in MCL (U = 3484.00, Z = -3.72, p’ = 0.00) and saccular acoustic sensitivity (U = 705.50, Z = − 3.78, p’ = 0.00) were higher than word-in-noise perception.ConclusionsWord-in-noise perception and word-in-noise discrimination scores are higher in saccular acoustic sensitivity level than MCL, suggesting that the vestibular system participates in loud speech perception. Also, in people with normal hearing thresholds, word-in-noise perception scores will be lower than word-in-noise discrimination scores for both loud and common intensity levels.

Machine Learning Predicts Accuracy in Eyewitnesses’ Voices

AbstractAn important task in criminal justice is to evaluate the accuracy of eyewitness testimony. In this study, we examined if machine learning could be used to detect accuracy. Specifically, we examined if support vector machines (SVMs) could accurately classify testimony statements as correct or incorrect based purely on the nonverbal aspects of the voice. We analyzed 3,337 statements (76.61% accurate) from 51 eyewitness testimonies along 94 acoustic variables. We also examined the relative importance of each of the acoustic variables, using Lasso regression. Results showed that the machine learning algorithms were able to predict accuracy between 20 and 40% above chance level (AUC = 0.50). The most important predictors included acoustic variables related to the amplitude (loudness) of speech and the duration of pauses, with higher amplitude predicting correct recall and longer pauses predicting incorrect recall. Taken together, we find that machine learning methods are capable of predicting whether eyewitness testimonies are correct or incorrect with above-chance accuracy and comparable to human performance, but without detrimental human biases. This offers a proof-of-concept for machine learning in evaluations of eyewitness accuracy, and opens up new avenues of research that we hope might improve social justice.

The encoding of prominence relations in supra-laryngeal articulation across speaking styles

Speakers modify their supra-laryngeal articulation on the one hand as a function of prosodic prominence and on the other hand as a function of speaking style. Articulatory movements are spatio-temporally expanded in words that are highlighted due to prosodic strengthening, but also in utterances that are produced in a loud speaking style. What remains unclear, to date, is how these two phenomena interact, or, in other words, how prominence relations are encoded in loud speech. In this paper, we use electromagnetic articulography to investigate lip and tongue kinematics and analyze selected acoustic parameters across several focus conditions in habitual and loud speech. Prosodic prominence relations are studied as the simultaneous strengthening of highlighted words and the attenuation of words in the background. The results show that prominence relations can be encoded multidimensionally in loud speech. Some modifications are even stronger in loud speech than in habitual speech, despite the general articulatory modifications associated with a loud speaking style. In both speaking styles, the attenuation of words in the background tends to be more robust than the strengthening of highlighted words. The paper underlines the flexibility of the multidimensional phonetic space in the encoding of prosodic prominence across varying communicative demands.

Prosody matters: Preserved prominence marking strategies in people with Parkinson's disease independent of motor status.

While many studies focus on segmental variation in Parkinsonian speech, little is known about prosodic modulations reflecting the ability to adapt to communicative demands in people with Parkinson's disease (PwPD). This type of prosodic modulation is important for social interaction, and it involves modifications in speech melody (intonational level) and articulation of consonants and vowels (segmental level). The present study investigates phonetic cues of prosodic modulations with respect to different focus structures in mild dysarthric PwPD as a function of levodopa. Acoustic and kinematic speech parameters of 25 PwPD were assessed in two motor conditions. Speech production data from PwPD were collected before (medication-OFF) and after levodopa intake (medication-ON) by means of 3-D electromagnetic articulography. On the acoustic level, intensity, pitch, and syllable durations were analyzed. On the kinematic level, movement duration and amplitude were investigated. Spatio-temporal modulations of speech parameters were examined and compared across three different prosodic focus structures (out-of-focus, broad focus, contrastive focus) to display varying speech demands. Overall, levodopa had beneficial effects on motor performance, speech loudness, and pitch modulation. Acoustic syllable durations and kinematic movement durations did not change, revealing no systematic effects of motor status on the temporal domain. In contrast, there were spatial modulations of the oral articulators: tongue tip movements were smaller and lower lip movements were larger in amplitude under levodopa, reflecting a more agile and efficient articulatory movement under levodopa. Thus, respiratory-phonatory functions and consonant production improved, while syllable duration and tongue body kinematics did not change. Interestingly, prominence marking strategies were comparable between the medication conditions under investigation, and in fact, appear to be preserved in mild dysarthric PwPD.

A Systematic Review and Bayesian Meta-Analysis of Acoustic Measures of Prosody in Parkinson's Disease.

Linguistic prosody is affected in Parkinson's disease (PD), which implicates the basal ganglia's role in the production of prosody. However, there is no recent systematic synthesis of the available acoustic evidence of prosodic impairment in PD. This study aimed to identify the acoustic features of linguistic prosody that are consistently affected in PD. The authors systematically reviewed articles that reported acoustic features of prosodic production in PD. Articles focused on fundamental frequency (F0) and its variability, intensity and its variability, speech and articulation rate, and pause duration and ratio. From a total of 648 records identified, 36 met criteria for inclusion and exclusion. For each acoustic measurement and task, data from people with PD (PwPD) were compared with those from controls to extract effect sizes. Pooled effect sizes were estimated using robust Bayesian hierarchical regression models. PD was associated with decreased F0 variability and increased pause duration. There was limited evidence of reduced intensity variability and speech rate in PwPD. No evidence was found to suggest that PD affects articulation rate or pause ratio. The primary acoustic parameters of prosody affected by PD are F0 variability and pause duration. The identification of these acoustic parameters has important clinical implications for the selection of PD management strategies. The association of F0 variability and pause duration with PD suggests that the neural circuits controlling these parameters are at least partly shared and might include the basal ganglia. While the current study focused on the phonetic realization of prosodic cues, future studies should examine whether and how PD affects prosody at higher levels of processing. https://doi.org/10.23641/asha.25892923.

Improving efficiency through innovation in the ‘real-world’: Feasibility of a co-designed telehealth solution for individuals with aphasia

BACKGROUND: Research indicates that speech and language therapy for individuals with aphasia delivered via telehealth is acceptable and facilitates good outcomes. Although adoption of telehealth has increased following COVID-19, it has not been implemented broadly. Telehealth could assist services to meet the recommended intensity of therapy for individuals with aphasia. OBJECTIVE: The study aimed to investigate the barriers and facilitators to adopting telehealth for individuals with aphasia at two local NHS trusts; and to co-design a telehealth solution responding to these challenges. The feasibility of this solution was also investigated. A secondary objective is to highlight the value of real-world data (RWD) collection in evaluating clinical practice. METHODS: An experience-based co-design study was conducted, which developed and piloted a bespoke telehealth solution across service pathways at two NHS sites. Feasibility was evaluated qualitatively through interviews and quantitatively from RWD collected through the telehealth software. RESULTS: The telehealth solution incorporated outsourcing of the service to a specialist company, provision of hardware and software and regular support for individuals with aphasia and their carers. Take up was associated with a positive impact and the RWD revealed a substantial increase in the hours of therapy the individuals with aphasia received. CONCLUSION: Personalised telehealth solutions which respond to local and personal needs are feasible and an acceptable way to increase the intensity of speech and language therapy for some individuals with aphasia, bringing services more in line with evidence-based recommendations and optimising patient outcomes. Embedded RWD collection systems are valuable for evaluation.

Normoacusia y discriminación verbal en entornos sonoros reales

IntroductionHuman beings are constantly exposed to complex acoustic environments every day, which even pose challenges for individuals with normal hearing. Speech perception relies not only on fixed elements within the acoustic wave but is also influenced by various factors. These factors include speech intensity, environmental noise, the presence of other speakers, individual specific characteristics, spatial separatios of sound sources, ambient reverberation, and audiovisual cues. The objective of this study is twofold: to determine the auditory capacity of normal hearing individuals to discriminate spoken words in real-life acoustic conditions and perform a phonetic analysis of misunderstood spoken words. Materials and methodsThis is a descriptive observational cross-sectional study involving 20 normal hearing individuals. Verbal audiometry was conducted in an open-field environment, with sounds masked by simulated real-word acoustic environment at various sound intensity levels. To enhance sound emission, 2D visual images related to the sounds were displayed on a television. We analyzed the percentage of correct answers and performed a phonetic analysis of misunderstood spanish bisyllabic words in each environment. Results14 women (70%) and 6 men (30%), with an average age of 26±5,4 years and a mean airway hearing threshold in the right ear of 10,56±3,52dB SPL and in the left ear of 10,12±2,49dB SPL. The percentage of verbal discrimination in the ‘Ocean’ sound environment was 97,2±5,04%, ‘Restaurant’ was 94±4,58%, and ‘Traffic’ was 86,2±9,94% (p=0,000). Regarding the phonetic analysis, the allophones that exhibited statistically significant differences were as follows: [o] (p=0,002) within the group of vocalic phonemes, [n] (p=0,000) of voiced nasal consonants, [ɾ] (p=0,0016) of voiced fricatives, [b] (p=0,000) and [g] (p=0,045) of voiced stops. ConclusionsThe dynamic properties of the acoustic environment can impact the ability of a normal hearing individual to extract information from a voice signal. Our study demonstrates that this ability decreases when the voice signal is masked by one or more simultaneous interfering voices, as observed in a ‘Restaurant’ environment, and when it is masked by a continuous and intense noise environment such as ‘Traffic’. Regarding the phonetic analysis, when the sound environment was composed of continuous-low frequency noise, we found that nasal consonants were particularly challenging to identify. Furthermore, in situations with distracting verbal signals, vowels and vibrating consonants exhibited the worst intelligibility.

Normal hearing and verbal discrimination in real sounds environments

IntroductionHuman beings are constantly exposed to complex acoustic environments every day, which even pose challenges for individuals with normal hearing. Speech perception relies not only on fixed elements within the acoustic wave but is also influenced by various factors. These factors include speech intensity, environmental noise, the presence of other speakers, individual specific characteristics, spatial separatios of sound sources, ambient reverberation, and audiovisual cues. The objective of this study is twofold: to determine the auditory capacity of normal hearing individuals to discriminate spoken words in real-life acoustic conditions and perform a phonetic analysis of misunderstood spoken words. Materials and methodsThis is a descriptive observational cross-sectional study involving 20 normal hearing individuals. Verbal audiometry was conducted in an open-field environment, with sounds masked by simulated real-word acoustic environment at various sound intensity levels. To enhance sound emission, 2D visual images related to the sounds were displayed on a television. We analyzed the percentage of correct answers and performed a phonetic analysis of misunderstood Spanish bisyllabic words in each environment. Results14 women (70%) and 6 men (30%), with an average age of 26 ± 5,4 years and a mean airway hearing threshold in the right ear of 10,56 ± 3,52 dB SPL and in the left ear of 10,12 ± 2,49 dB SPL. The percentage of verbal discrimination in the “Ocean” sound environment was 97,2 ± 5,04%, “Restaurant” was 94 ± 4,58%, and “Traffic” was 86,2 ± 9,94% (p = 0,000). Regarding the phonetic analysis, the allophones that exhibited statistically significant differences were as follows: [o] (p = 0,002) within the group of vocalic phonemes, [n] (p = 0,000) of voiced nasal consonants, [r] (p = 0,0016) of voiced fricatives, [b] (p = 0,000) and [g] (p = 0,045) of voiced stops. ConclusionThe dynamic properties of the acoustic environment can impact the ability of a normal hearing individual to extract information from a voice signal. Our study demonstrates that this ability decreases when the voice signal is masked by one or more simultaneous interfering voices, as observed in a “Restaurant” environment, and when it is masked by a continuous and intense noise environment such as “Traffic”. Regarding the phonetic analysis, when the sound environment was composed of continuous-low frequency noise, we found that nasal consonants were particularly challenging to identify. Furthermore in situations with distracting verbal signals, vowels and vibrating consonants exhibited the worst intelligibility.

Face and Speech Emotion Recognition System

Abstract: Emotions serve as the cornerstone of human communication, facilitating the expression of one's inner thoughts and feelings to others. Speech Emotion Recognition (SER) represents a pivotal endeavour aimed at deciphering the emotional nuances embedded within a speaker's voice signal. Universal emotions such as neutrality, anger, happiness, and sadness form the basis of this recognition process, allowing for the identification of fundamental emotional states. To achieve this, spectral and prosodic features are leveraged, each offering unique insights into the emotional content of speech. Spectral features, exemplified by the Mel Frequency Cepstral Coefficient (MFCC), provide a detailed analysis of the frequency distribution within speech signals, while prosodic features encompass elements like fundamental frequency, volume, pitch, speech intensity, and glottal parameters, capturing the rhythmic and tonal variations indicative of different emotional states. Through the integration of these features, SER systems can effectively simulate and classify a diverse range of emotional expressions, paving the way for enhanced human-computer interaction and communication technologies

Therapeutic Implications of Voiced Sounds in Children with Communication Needs

Children with hearing impairments, who do not receive auditory feedback eventually develop speech impairments. Children with hearing impairments lack the ability to talk even by having normal speech production mechanisms. The hearing-impaired child's articulation, accuracy, stress, and intonation patterns are all impacted even if he/she attempts to speak by visualizing lip movements because they are unable to distinguish vowels and consonants with tongue movement concealed in the mouth, nor they are able to understand variations in pitch or intensity of speech. Individuals with hearing impairments may receive auditory, tactile, or visual input, contingent on the degree of their disability. This research is dedicated for developing preliminary systems for teaching. These systems can be created using feedback of articulatory parameters or feedback of acoustic parameters, such as fundamental frequency, speech intensity, and spectral features. Data from speech language pathologists were collected from 20 children with and without speech impairments, aged 5 to 8 using picture naming tasks. The statistical analysis on voiced samples /pha/, /mha/, /tha/ relived the significant variation between children with and without hearing impairments.

Oval and round window reinforcement surgery leads to improvements in sound tolerance and quality of life for hyperacusis patients

PurposeHyperacusis is an audiological disorder in which patients become persistently sensitive and intolerant to everyday environmental sounds. For those patients that fail conservative options, a minimally invasive surgical procedure has been developed. Materials & methodsRetrospective case series of 73 adult patients with hyperacusis who underwent oval and round window reinforcement surgery between 1/2017–6/2023. Small pieces of temporalis fascia were used to reinforce the round and oval windows. Patients were separated into two groups based on their preoperative speech Loudness Discomfort Level (LDL). Patients with a preoperative speech LDL ≤ 70 dB were placed in the “low LDL group” whereas patients with a preoperative speech LDL >70 dB were placed in the “high LDL group.” Preoperative and one-week postoperative audiogram and speech LDLs were compared. Quality of life was assessed using the Glasgow Benefit Inventory (GBI) survey. Results73 patients met inclusion criteria - 21 patients in the low LDL group and 52 in the high LDL group. Patients in the high LDL group significantly improved their LDLs by an average of 3.5 dB (P < 0.0001). 42 patients (80.8 %) in the high LDL group had improvement and would recommend the surgery for hyperacusis. Patients in the low LDL group significantly improved their LDL by an average of 12.9 dB (P = 0.032). Ten patients (47.6 %) from the low LDL group experienced improvement and would recommend hyperacusis surgery. ConclusionMany patients with hyperacusis who undergo oval and round window reinforcement can receive significant improvement in sound tolerance and quality of life. Patients with a pre-op speech LDL > 70 dB have the greatest potential for improvement with surgery (80.8 %), probably because their hyperacusis was less severe. In the high LDL group(>70dB) the improvement in 1-10 scale went from 8.6 pre-op to 2.4 post op. In the low LDL group(<70dB) went from 9.2 pre-op to 6.8 post-op. These findings were consistent with the GBI results.

Respiratory laryngeal coordination during vowel-plosive-vowel transition in shouted speech

This study investigates differences in respiratory-laryngeal coordination between normal and shouted speech in the production of a vowel-plosive-vowel utterance, with the goal toward synthesis of such utterances in loud speech. The results showed that compared to normal condition, shouted speech produced higher intraoral pressure during vocal tract closure, higher airflow at the release of vocal tract closure, increased fundamental frequency and increased duration of glottal closure during the following vowel, and increased respiratory activities. For unvoiced plosives, shouted speech also produced increased voice onset time of the following vowel, but its importance to the perception of shouted speech was small. Computational simulations further showed that such increased voice onset time is likely due to increased maximum vocal fold abduction and/or delayed initiation of vocal fold adduction, which are necessary to avoid voice onset immediately after the release of vocal tract closure in conditions of high subglottal pressure.

Effects of speech rate modifications on phonatory acoustic outcomes in Parkinson's disease.

Speech rate reduction is a global speech therapy approach for speech deficits in Parkinson's disease (PD) that has the potential to result in changes across multiple speech subsystems. While the overall goal of rate reduction is usually improvements in speech intelligibility, not all people with PD benefit from this approach. Speech rate is often targeted as a means of improving articulatory precision, though less is known about rate-induced changes in other speech subsystems that could help or hinder communication. The purpose of this study was to quantify phonatory changes associated with speech rate modification across a broad range of speech rates from very slow to very fast in talkers with and without PD. Four speaker groups participated: younger and older healthy controls, and people with PD with and without deep brain stimulation of the subthalamic nucleus (STN-DBS). Talkers read aloud standardized sentences at 7 speech rates elicited using magnitude production: habitual, three slower rates, and three faster rates. Acoustic measures of speech intensity, cepstral peak prominence, and fundamental frequency were measured as a function of speech rate and group. Overall, slower rates of speech were associated with differential effects on phonation across the four groups. While all talkers spoke at a lower pitch in slow speech, younger talkers showed increases in speech intensity and cepstral peak prominence, while talkers with PD and STN-DBS showed the reverse pattern. Talkers with PD without STN-DBS and older healthy controls behaved in between these two extremes. At faster rates, all groups uniformly demonstrated increases in cepstral peak prominence. While speech rate reductions are intended to promote positive changes in articulation to compensate for speech deficits in dysarthria, the present results highlight that undesirable changes may be invoked across other subsystems, such as at the laryngeal level. In particular, talkers with STN-DBS, who often demonstrate speech deterioration following DBS surgery, demonstrated more phonatory detriments at slowed speech rates. Findings have implications for speech rate candidacy considerations and speech motor control processes in PD.