Speech Understanding Research Articles

Sensorineural hearing loss among type 2 diabetic patients and its association with peripheral neuropathy: a cross-sectional study from a lower middle-income country

IntroductionDespite potential links between diabetes and sensorineural hearing loss (SNHL), routine hearing assessments for diabetic patients are not standard practice. Our study aimed to investigate the prevalence of SNHL and...

Clinical Practice Guideline: Age-Related Hearing Loss.

Age-related hearing loss (ARHL) is a prevalent but often underdiagnosed and undertreated condition among individuals aged 50 and above. It is associated with various sociodemographic factors and health risks including dementia, depression, cardiovascular disease, and falls. While the causes of ARHL and its downstream effects are well defined, there is a lack of priority placed by clinicians as well as guidance regarding the identification, education, and management of this condition. The purpose of this clinical practice guideline is to identify quality improvement opportunities and provide clinicians trustworthy, evidence-based recommendations regarding the identification and management of ARHL. These opportunities are communicated through clear actionable statements with explanation of the support in the literature, evaluation of the quality of the evidence, and recommendations on implementation. The target patients for the guideline are any individuals aged 50 years and older. The target audience is all clinicians in all care settings. This guideline is intended to focus on evidence-based quality improvement opportunities judged most important by the guideline development group (GDG). It is not intended to be a comprehensive, general guide regarding the management of ARHL. The statements in this guideline are not intended to limit or restrict care provided by clinicians based on their experience and assessment of individual patients. The GDG made strong recommendations for the following key action statements (KASs): (KAS 4) If screening suggests hearing loss, clinicians should obtain or refer to a clinician who can obtain an audiogram. (KAS 8) Clinicians should offer, or refer to a clinician who can offer, appropriately fit amplification to patients with ARHL. (KAS 9) Clinicians should refer patients for an evaluation of cochlear implantationcandidacy when patients have appropriately fit amplification and persistent hearing difficulty with poor speech understanding. The GDG made recommendations for the following KASs: (KAS 1) Clinicians should screen patients aged 50 years and older for hearing loss at the time of a health care encounter. (KAS 2) If screening suggests hearing loss, clinicians should examine the ear canal and tympanic membrane with otoscopy or refer to a clinician who can examine the ears for cerumen impaction, infection, or other abnormalities. (KAS 3) If screening suggests hearing loss, clinicians should identify sociodemographic factors and patient preferences that influence access to and utilization of hearing health care. (KAS 5) Clinicians should evaluate and treat or refer to a clinician who can evaluate and treat patients with significant asymmetric hearing loss, conductive or mixed hearing loss, or poor word recognition on diagnostic testing. (KAS 6) Clinicians should educate and counsel patients with hearing loss and their family/care partner(s) about the impact of hearing loss on their communication, safety, function, cognition, and quality of life (QOL). (KAS 7) Clinicians should counsel patients with hearing loss on communication strategies and assistive listening devices. (KAS 10) For patients with hearing loss, clinicians should assess if communication goals have been met and if there has been improvement in hearing-related QOL at a subsequent health care encounter or within 1 year. The GDG offered the following KAS as an option: (KAS 11) Clinicians should assess hearing at least every 3 years in patients with known hearing loss or with reported concern for changes in hearing.

Clinical Practice Guideline: Age-Related Hearing Loss Executive Summary.

Age-related hearing loss (ARHL) is a prevalent but often underdiagnosed and undertreated condition among individuals aged 50 and above. It is associated with various sociodemographic factors and health risks including dementia, depression, cardiovascular disease, and falls. While the causes of ARHL and its downstream effects are well defined, there is a lack of priority placed by clinicians as well as guidance regarding the identification, education, and management of this condition. The purpose of this clinical practice guideline is to identify quality improvement opportunities and provide clinicians trustworthy, evidence-based recommendations regarding the identification and management of ARHL. These opportunities are communicated through clear actionable statements with an explanation of the support in the literature, the evaluation of the quality of the evidence, and recommendations on implementation. The target patients for the guideline are any individuals aged 50 years and older. The target audience is all clinicians in all care settings. This guideline is intended to focus on evidence-based quality improvement opportunities judged most important by the Guideline Development Group (GDG). It is not intended to be a comprehensive, general guide regarding the management of ARHL. The statements in this guideline are not intended to limit or restrict care provided by clinicians based on their experience and assessment of individual patients. The GDG made strong recommendations for the following key action statements (KASs): (KAS 4) If screening suggests hearing loss, clinicians should obtain or refer to a clinician who can obtain an audiogram. (KAS 8) Clinicians should offer, or refer to a clinician who can offer, appropriately fit amplification to patients with ARHL. (KAS 9) Clinicians should refer patients for an evaluation of cochlear implantation candidacy when patients have appropriately fit amplification and persistent hearing difficulty with poor speech understanding. The GDG made recommendations for the following KASs: (KAS 1) Clinicians should screen patients aged 50 years and older for hearing loss at the time of a health care encounter. (KAS 2) If screening suggests hearing loss, clinicians should examine the ear canal and tympanic membrane with otoscopy or refer to a clinician who can examine the ears for cerumen impaction, infection, or other abnormalities. (KAS 3) If screening suggests hearing loss, clinicians should identify sociodemographic factors and patient preferences that influence access to and utilization of hearing health care. (KAS 5) Clinicians should evaluate and treat or refer to a clinician who can evaluate and treat patients with significant asymmetric hearing loss, conductive or mixed hearing loss, or poor word recognition on diagnostic testing. (KAS 6) Clinicians should educate and counsel patients with hearing loss and their family/care partner(s) about the impact of hearing loss on their communication, safety, function, cognition, and quality of life. (KAS 7) Clinicians should counsel patients with hearing loss on communication strategies and assistive listening devices. (KAS 10) For patients with hearing loss, clinicians should assess if communication goals have been met and if there has been improvement in hearing-related quality of life at a subsequent health care encounter or within 1 year. The GDG offered the following KASas an option: (KAS 11) Clinicians should assess hearing at least every 3 years in patients with known hearing loss or with reported concern for changes in hearing.

AI Call Assistant – Extractive Summarization of Call Recordings

In today's fast-paced business landscape, effective communication is a key for success. With the increasing volume of phone calls in various industries, there is a growing need for efficient call management and analysis tools. The AI Call Assistant project aims to address this need by leveraging artificial intelligence (AI) technology to summarize call recordings, enhancing productivity and decision-making processes. The core functionality of this project revolves around its ability to process audio data from call recordings and extract key insights and information. Using advanced natural language processing (NLP) techniques, the system identifies important topics, sentiments, and actions discussed during the call. The call transcripts attained from call recording pose unique challenges that are not adequately addressed by most open-source automatic text summarizers. This project aims to contribute to the field of artificial intelligence by providing efficient and effective methods to recognize call recording and summarize, offering a valuable tool for extracting insights from spoken audio efficiently.Top of Form This research aligns with the broader fields of natural language processing (NLP), machine learning, and artificial intelligence (AI), particularly in the domain of speech recognition and understanding. It also intersects with communication technology and data analytics, focusing on optimizing call management processes and extracting actionable insights from conversational data. Moreover, it aligns with the goal of improving efficiency and decision-making in various industries through the application of AI-driven solutions. Overall, this project offers a novel approach to improving call management processes through AI-driven extractive summarization, contributing to advancements in natural language processing and communication technologies. Key Words: Artificial Intelligence, BERT, Textual Summarization, Transformers, Natural Language Processing, Speech Recognition, Speech-To-Text.

Speech Comprehension by Cochlear Implant Users Assessed with Evoked Potentials and Response Times

Introduction: Cochlear implant (CI) users differ greatly in their rehabilitation outcomes, including speech understanding in noise. This variability may be related to brain changes associated with intact senses recruiting cortical areas from stimulation-deprived senses. Numerous studies have demonstrated such cross-modal reorganization in individuals with untreated hearing loss. How it is affected by regular use of hearing devices remains unclear, however. To shed light on this, the current study measured cortical responses reflecting comprehension abilities in experienced CI users and normal-hearing controls. Methods: Using multichannel electroencephalography, we tested CI users who had used their devices for at least 12 months and closely matched controls (N = 2 × 13). Cortical responses reflecting comprehension abilities – the N400 and late positive complex (LPC) components – were evoked using congruent and incongruent digit-triplet stimuli. The participants’ task was to assess digit-triplet congruency by means of timed button presses. All measurements were performed in speech-shaped noise 15 dB above individually measured speech recognition thresholds. Three stimulus presentation modes were used: auditory-only, visual-only, and visual-then-auditory. Results: The analyses revealed no group differences in the N400 and LPC responses. In terms of response times, the CI users were slower and differentially affected by the three stimulus presentation modes relative to the controls. Conclusion: Compared to normal-hearing controls, experienced CI users may need more time to comprehend speech in noise. Response times can serve as a proxy for speech comprehension by CI users.

Professional Training of future Chinese Specialists in the Educational space of a Russian university: Phonation-Phonetic Knowledge, Skills and Abilities

In the conditions of modern international cooperation, the importance of the Russian language in the global geographical space is growing and expanding. Today, the Russian language is becoming one of the main foreign languages studied in world culture in general and in the Chinese educational space in particular. To develop full-fledged and mutually beneficial relations between Russia and China, the need for Chinese specialists who speak Russian has increased. Russian and Chinese languages belong to different language groups: Russian belongs to the Slavic languages of the Indo-European language group, and Chinese belongs to the Sino-Tibetan language group, therefore, the Chinese, when mastering Russian sound formation, assume difficulties associated, for example, with stress in words, with pronouncing voiced consonants, with intonation in a sentence, etc. The first difficulty that future Chinese specialists face at a Russian university is a lack of understanding of oral Russian speech and the lack of developed pronunciation skills related to the perception and production of Russian words. The purpose of the article is to show the importance of phonation-phonetic knowledge, skills and abilities of the Russian language for the professional training of future Chinese specialists in the educational space of a Russian university. Methodology. The article is based on the study of works (V. I. Zagvyazinsky, G. K. Parinova, V. A. Slastenin, etc.) that define the general theoretical provisions of professional training (L. B. Dmitriev, N. I. Zhinkin, I. A. Zimnyaya, etc.), forming knowledge about speech and vocal training, as well as methodological research (Xing Zhao, Zhang Xiaohui, etc.) on the training of future Chinese specialists in Russian. Conclusion. Phonation-phonetic knowledge, skills and abilities in Russian not only contribute to the effectiveness of professional training of future Chinese specialists in the educational space of a Russian university, but also increase the level of phonation-phonetic competence in general.

Children's speech, language and communication skills and parental knowledge in the growing up in New Zealand cohort.

There is a substantial discrepancy between international and local prevalence rates for speech, language and communication needs (SLCN) amongst children in New Zealand. Reports of communication impairment are likely to be underestimates. Prevalence data can describe population characteristics and inform the scope and nature of services to adequately meet demand. Parents and other caregivers are central to the early identification of children with communication needs but they may not recognise their child's needs or act on their concerns. Cross-sectional data were available for the Growing Up in New Zealand (GUiNZ) longitudinal study cohort at 24, 54 and 72 months of age, with 76% of whānau (families; n = 5241) completing three data waves. Descriptive and chi-square analyses were used to address: (1) What are the communication abilities of children in the first 5 years of life? (2) What do New Zealand parents understand of their children's communication? (3) Do New Zealand parents have concerns? (4) What are the trajectories of parental concern for children's communication in the first 6 years of life? At 24 months old, 16% of children had communication skills that were of concern to their parents. At 54 months, there were concerns for 12.6% of children. Although most parents were able to describe their child's expressive abilities, many parents remained unconcerned when their child demonstrated communication skills that did not met developmental expectations. Parents can offer valuable insights about their children, but in many cases their level of concern about SLCN did not align with a professional view which reflects a more nuanced understanding of children's speech and language and the impact on future communication skills and needs. Increased awareness through public health messaging specifically regarding lifelong influences of communication challenges will aid in prevention, early detection and intervention. What is already known on this subject Parent's expectations of child speech and language development will inform how responsive they are to difficulties in their child. Appropriate parental concern is key to recognition of children with speech, language and communication needs that warrant referral to a professional. What this paper adds to existing knowledge Parents are aware of expressive language skills that children acquire and can accurately identify their children's skills but have less knowledge of the ages of acquisition. Some parents are not concerned, do not seek support despite recognisable difficulties, and demonstrate limited understanding of the future consequences for children with communication needs that are unmet. What are the potential or actual clinical implications of this work? Public health messaging should include both skills and age ranges for speech and language acquisition. Additionally, educating the public of the impact of speech, language and communication skills on children's futures is needed.

Effect of spectral degradation on speech intelligibility and cortical representation.

Noise-vocoded speech has long been used to investigate how acoustic cues affect speech understanding. Studies indicate that reducing the number of spectral channel bands diminishes speech intelligibility. Despite previous studies examining the channel band effect using earlier event-related potential (ERP) components, such as P1, N1, and P2, a clear consensus or understanding remains elusive. Given our hypothesis that spectral degradation affects higher-order processing of speech understanding beyond mere perception, we aimed to objectively measure differences in higher-order abilities to discriminate or interpret meaning. Using an oddball paradigm with speech stimuli, we examined how neural signals correlate with the evaluation of speech stimuli based on the number of channel bands measuring N2 and P3b components. In 20 young participants with normal hearing, we measured speech intelligibility and N2 and P3b responses using a one-syllable task paradigm with animal and non-animal stimuli across four vocoder conditions with 4, 8, 16, or 32 channel bands. Behavioral data from word repetition clearly affected the number of channel bands, and all pairs were significantly different (p < 0.001). We also observed significant effects of the number of channels on the peak amplitude [F(2.006, 38.117) = 9.077, p < 0.001] and peak latency [F(3, 57) = 26.642, p < 0.001] of the N2 component. Similarly, the P3b component showed significant main effects of the number of channel bands on the peak amplitude [F(2.231, 42.391) = 13.045, p < 0.001] and peak latency [F(3, 57) = 2.968, p = 0.039]. In summary, our findings provide compelling evidence that spectral channel bands profoundly influence cortical speech processing, as reflected in the N2 and P3b components, a higher-order cognitive process. We conclude that spectrally degraded one-syllable speech primarily affects cortical responses during semantic integration.

Visionary Audio Hub using Machine Learning

Image-to-text-to-speech conversion, powered by machine learning, is an emerging field to transform how we access and engage with information. By integrating optical character recognition (OCR) and text-to-speech (TTS) technologies, machine learning enables the extraction of text from images and its conversion into speech with greater accuracy and efficiency than ever before. This technology holds immense potential to enhance accessibility for a broad spectrum of users, including those with visual impairments, students, tourists, researchers, and musicians. For instance, individuals with visual impairments can use image-to-text-to-speech conversion to access scanned textbooks and course materials in speech format, facilitating easier comprehension and study. Similarly, tourists can leverage this technology to translate foreign language signs and text into speech, aiding navigation in unfamiliar environments. Researchers can benefit from image-to-text-to-speech conversion by extracting data from scientific papers and documents, simplifying analysis and synthesis processes. Moreover, musicians can explore new creative avenues by converting text to speech and manipulating the audio output to innovate musical compositions. Machine learning algorithms play a crucial role in improving the quality and naturalness of synthesized speech in these systems. By considering factors such as language, accent, and prosody, machine learning algorithms generate speech that closely resembles human speech patterns, enhancing clarity and understanding. Keywords— Image-to-text-to-speech conversion, Machine learning, Optical character recognition (OCR), Text-to-speech (TTS) technologies, Accessibility, Naturalness of synthesized speech.

THE PHENOMENON OF SPEECH ACTS IN THE SUNDANESE NOVEL ISTRI-ISTRI NU DIPIHORMAT BY MEMEN DURACHMAN

This research is motivated by the importance of understanding the context of speech and speech acts to avoid misunderstanding in understanding speech. The source of the research data is the Sundanese novel Wife-wife nu Dipihormat by Memen Durachman because Sundanese novels have many messages about life and are one of the efforts to preserve the Sundanese language. The purpose of this research is to find out the speech acts in the dialogue of Memen Durachman's novel Wife-Wife nu Dipihormat through Austin's theory. The method used is the descriptive analytical method using data collection techniques in the form of literature review and data analysis. The results of the study show that of the 385 dialogues in the novel, the forms of speech acts found in this novel are locations with a total of 202 utterances, illocutionary acts with a total of 193 utterances, and perlocutions with a total of 228 utterances. The results of this study can be used as an alternative in paguneman learning that is by KIKD, so that it can be an effort to preserve Sundanese.

Evaluation of Psychomotor Development in Children Treated with Therapeutic Hypothermia

Introduction. Perinatal asphyxia is a common neonatal problem. It remains a leading cause of neonatal morbidity and mortality and plays a major role in motor and intellectual developmental deficits in children. Complications of cerebral hypoxia in asphyxiated newborns can be treated with therapeutic hypothermia. The treatment involves moderate cooling of the newborn to minimize the consequences of hypoxia. Aim. To evaluate psychomotor development and detect impairments and deficits in motor functions, perception, speech, manual functions and social contacts in children treated with therapeutic hypothermia. Material and Methods. The study was carried out on a group of 27 children treated with therapeutic hypothermia. The data involved an analysis of medical records and the results of psychomotor development evaluation using the Munich Functional Development Diagnostics scale. Results. We found no significant delay in the developmental age of the children for walking. The mean developmental age for this area was 30.56 months (SD=8.42 months), for fine motor skills, speaking, independence and social skills were similar. The mean developmental age for understanding speech was 28.76 months (SD=7.92 months). The mean developmental age for cognitive skills was 27.73 months (Me=28 months). The speech development was slightly delayed for their age (x̅=3.2 months, SD=1.09 months). Conclusions. Children aged up to 1 year showed normal psychomotor development. Small deficits in cognitive processes and social skills were identified in children in the second and third years of life. The greatest developmental delays were identified in children in the fourth, fifth and sixth years of life. (JNNN 2024;13(1):9–16)

Evaluation of the Baha SoundArc in children

ObjectiveThe Baha SoundArc coupling system has been developed as a non-surgical coupling of a Baha sound processor to the skull allowing the transfer of vibrational energy to the cochlear partition via bone conduction pathways. Today, there are several alternatives to this non-surgical approach as the Baha headband/test band, or the Baha Softband, or adhesive patches. Each of these current options have benefits and liabilities. The aim of the study was to evaluate pediatric experience and performance when using two non-surgical options, the Baha SoundArc compared to the Baha Softband. MethodsTwenty-five children with unilateral mixed or conductive hearing loss aged 5–12 years of age evaluated the use of the Baha SoundArc compared to their existing Baha Softband in a one month take home trial. Participants had a minimum of 3 months experience using the control, Baha Softband. Participants were assessed at baseline and one month following fit of the Baha SoundArc. Measures included an experience and use patient reported outcome, speech perception testing in quiet using Phonetically Balanced Kindergarten (PBK) words, and sound field audiometry. ResultsMean aided soundfield thresholds across the frequency range were 27.6 dB HL for Softband and 26.0 dB HL for SoundArc, which were not significantly different (P = >.05). Mean word recognition score was 80.8% when aided with the Softband device and 85.1% with the SoundArc, which was also not significantly different (P = >.05). Most children favored the aesthetics and usability of the SoundArc over Softband, but comfort ratings were largely similar for both devices. ConclusionsBone conduction sound processors mounted on a SoundArc or a Softband resulted in comparable improvements in aided thresholds and speech understanding in children suffering from conductive or mixed hearing loss. Both wearing modalities can be considered equivalent in terms of audiological outcomes, although both patients and clinicians preferred the usability and aesthetics of the SoundArc. The SoundArc provides an alternative wearing option for patients that may otherwise be discouraged by the aesthetics and usability of the Softband device. Clinicaltrials.gov identifierNCT03333577.

A Mixed-Rate Strategy on a Bilaterally-Synchronized Cochlear Implant Processor Offering the Opportunity to Provide Both Speech Understanding and Interaural Time Difference Cues.

Background/Objective: Bilaterally implanted cochlear implant (CI) users do not consistently have access to interaural time differences (ITDs). ITDs are crucial for restoring the ability to localize sounds and understand speech in noisy environments. Lack of access to ITDs is partly due to lack of communication between clinical processors across the ears and partly because processors must use relatively high rates of stimulation to encode envelope information. Speech understanding is best at higher stimulation rates, but sensitivity to ITDs in the timing of pulses is best at low stimulation rates. Methods: We implemented a practical "mixed rate" strategy that encodes ITD information using a low stimulation rate on some channels and speech information using high rates on the remaining channels. The strategy was tested using a bilaterally synchronized research processor, the CCi-MOBILE. Nine bilaterally implanted CI users were tested on speech understanding and were asked to judge the location of a sound based on ITDs encoded using this strategy. Results: Performance was similar in both tasks between the control strategy and the new strategy. Conclusions: We discuss the benefits and drawbacks of the sound coding strategy and provide guidelines for utilizing synchronized processors for developing strategies.

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

Large language models (LLMs) have exhibited remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. Despite the recent success, current LLMs are not capable of processing complex audio information or conducting spoken conversations (like Siri or Alexa). In this work, we propose a multi-modal AI system named AudioGPT, which complements LLMs (i.e., ChatGPT) with 1) foundation models to process complex audio information and solve numerous understanding and generation tasks; and 2) the input/output interface (ASR, TTS) to support spoken dialogue. With an increasing demand to evaluate multi-modal LLMs of human intention understanding and cooperation with foundation models, we outline the principles and processes and test AudioGPT in terms of consistency, capability, and robustness. Experimental results demonstrate the capabilities of AudioGPT in solving 16 AI tasks with speech, music, sound, and talking head understanding and generation in multi-round dialogues, which empower humans to create rich and diverse audio content with unprecedented ease. Code can be found in https://github.com/AIGC-Audio/AudioGPT

Loudness Balancing Optimization for Better Speech Intelligibility, Music Perception, and Spectral Temporal Resolution in Cochlear Implant Users.

The behaviorally based programming with loudness balancing (LB) would result in better speech understanding, spectral-temporal resolution, and music perception scores, and there would be a relationship between these scores. Loudness imbalances at upper stimulation levels may cause sounds to be perceived as irregular, gravelly, or overly echoed and may negatively affect the listening performance of the cochlear implant (CI) user. LB should be performed after fitting to overcome these problems. The study included 26 unilateral Med-EL CI users. Two different CI programs based on the objective electrically evoked stapedial reflex threshold (P1) and the behaviorally program with LB (P2) were recorded for each participant. The Turkish Matrix Sentence Test (TMS) was applied to evaluate speech perception; the Random Gap Detection Test (RGDT) and Spectral-Temporally Modulated Ripple Test (SMRT) were applied to evaluate spectral temporal resolution skills; the Mini Profile of Music Perception Skills (mini-PROMS) and Melodic Contour Identification (MCI) tests were applied to evaluate music perception, and the results were compared. Significantly better scores were obtained with P2 in TMS tests performed in noise and quiet. SMRT scores were significantly correlated with TMS in quiet and noise, and mini-PROMS sound perception results. Although better scores were obtained with P2 in the mini-PROMS total score and MCI, a significant difference was found only for MCI. The data from the current study showed that equalization of loudness across CI electrodes leads to better perceptual acuity. It also revealed the relationship between speech perception, spectral-temporal resolution, and music perception.

Is the Position of the Basal-Most Electrode Depending on Electrode Array Design and Influencing Postoperative Speech Perception? A Retrospective Analysis of 495 Ears.

The objective of this study is to examine the influence of electrode array design on the position of the basal-most electrode in cochlear implant (CI) surgery and therefore the stimulability of the basal cochlea. Specifically, we evaluated the angular insertion depth of the basal-most electrode in perimodiolar and straight electrode arrays in relation to postoperative speech perception. We conducted a retrospective analysis of 495 patients between 2013 and 2018 using the Cochlear™ Contour Advance® (CA), Cochlear™ Slim Straight® (SSA), or Cochlear™ Slim Modiolar® (SMA) electrode arrays, as well as the MED-EL Flex24 (F24), MED-EL Flex28 (F28), and MED-EL FlexSoft (F31.5) electrode arrays. Cochlear size and the position of the basal-most electrode were measured using rotational tomography or cone beam computed tomography, and the results were compared with postoperative speech perception in monosyllables and numbers. The straight electrode arrays, specifically the F31.5 (31.5 mm length) and the F28 (28 mm length), exhibited a significantly greater angular insertion depth of the basal-most electrode. No significant correlation was found between cochlear morphology measurements and the position of the basal-most electrode artifact. Cochleostomy-inserted electrode arrays showed a significantly higher insertion depth of the basal-most electrode. Nevertheless, the position of the basal-most electrode did not have a significant impact on postoperative speech perception. Straight electrode arrays with longer lengths achieved deeper angular insertion depths of the basal-most electrode. Cochlear morphology does not have a substantial influence on the position of basal-most electrode. The study confirms that the basal area of the cochlea, responsible for high-frequency range during acoustic stimulation, is not the primary region for speech understanding via electrical stimulation with CI.

Implantation and reimplantation: epidemiology, etiology and pathogenesis over the last 30 years

IntroductionDue to the increasing number of cochlear implant (CI) recipients, growing indications, and the aging population, the reimplantation of CI recipients has become a focus of attention. The aim of this study is to examine the causes, timing, and postoperative speech understanding in a large cohort over the past 30 years.MethodsA retrospective data analysis was conducted on over 4000 CI recipients and 214 reimplanted children and adults from 1993 to 2020. This involved collecting and comparing data on causes, manufacturer information, and demographic data. In addition, a comparison of speech understanding in Freiburg monosyllables and numbers before and after reimplantation was carried out.ResultsChildren did not exhibit elevated rates of reimplantation. The overall reimplantation rate in the entire cohort was 5%. The CI overall survival rate after 10 years in the entire cohort was 95.2%. Device failure was the most common reason for reimplantation, with 48% occurring within the first 5 years after implantation. The second most common reason was medical complications, with the risk of reimplantation decreasing as more time passed since the initial implantation. There were no significant differences in Freiburg numbers and monosyllable comprehension before and after reimplantation, both in the overall cohort and in the subcohorts based on indications. Even a technical upgrade did not result in a significant improvement in speech understanding.DiscussionThere was no significant difference in the frequency of reimplantation based on patient age, especially when comparing children and adults. Device failure is by far the most common indication for reimplantation, with no significant difference in implant survival between manufacturers. Patients most often choose the same manufacturer for reimplantation. The likelihood of reimplantation decreases with increasing time since the initial implantation. The indication for reimplantation should be carefully considered, as on average, no improved speech understanding is achieved, regardless of the cause, even with a technical upgrade.

Outcomes and Measures of Children with Bilateral Cochlear Implants: A Single-center Experience in Bangladesh

Children dealing with hearing impairment encounter challenges associated with speech and language delays, significantly impacting their quality of life. Recent data from the World Health Organization indicate that 466 million people worldwide experience disabling hearing loss, with 34 million being children. Cochlear implantation (CI) is a novel approach for severe to profound sensorineural hearing loss. In pediatric CI, the main objective is to enable hearing-impaired children to perceive sound promptly, facilitating speech and language development. This study investigated the outcomes of bilateral pediatric cochlear implant (CI) users in Bangladesh, applying the Speech, Spatial, and Qualities of Hearing questionnaire and the Classification of Auditory Performance-II (CAP-II). Conducted at the Combined Military Hospital in Bangladesh, the study involved 10 children with bilateral cochlear implants. The results revealed commendable scores in speech understanding, spatial hearing, and qualities of hearing, underscoring the effectiveness of cochlear implant interventions. Deeply examining the implications is the topic of discussion of these findings, emphasizing the positive impact of early implantation and the adaptability of assessment tools in diverse cultural contexts.

Reference Data for a Quick Speech-in-Noise Hearing Test in the French Language

Introduction: Difficulty in understanding speech in noise is the most common complaint of people with hearing impairment. Thus, there is a need for tests of speech-in-noise ability in clinical settings, which have to be evaluated for each language. Here, a reference dataset is presented for a quick speech-in-noise test in the French language (Vocale Rapide dans le Bruit, VRB; Leclercq, Renard, & Vincent, 2018). Methods: A large cohort (N = 641) was tested in a nationwide multicentric study. The cohort comprised normal-hearing individuals and individuals with a broad range of symmetrical hearing losses. Short everyday sentences embedded in babble noise were presented over a spatial array of loudspeakers. Speech level was kept constant, while noise level was progressively increased over a range of signal-to-noise ratios. The signal-to-noise ratio for which 50% of keywords could be correctly reported (speech reception threshold, SRT) was derived from psychometric functions. Other audiometric measures were collected for the cohort, such as audiograms and speech-in-quiet performance. Results: The VRB test was both sensitive and reliable, as shown by the steep slope of the psychometric functions and by the high test-retest consistency across sentence lists. Correlation analyses showed that pure tone averages derived from the audiograms explained 74% of the SRT variance over the whole cohort, but only 29% for individuals with clinically normal audiograms. SRTs were then compared to recent guidelines from the French Society of Audiology [Eur Ann Otorhinolaryngol Head Neck Dis. 2022;139(1):21–7]. Among individuals who would not have qualified for hearing aid prescription based on their audiogram or speech intelligibility in quiet, 18.4% were now eligible as they displayed SRTs in noise impaired by 3 dB or more. For individuals with borderline audiograms, between 20 dB HL and 30 dB HL, the prevalence of impaired SRTs increased to 71.4%. Finally, even though five lists are recommended for clinical use, a minute-long screening using only one VRB list detected 98.6% of impaired SRTs. Conclusion: The reference data suggest that VRB testing can be used to identify individuals with speech-in-noise impairment.

PEDAGOGICAL PROCESS OF WORKING WITH THE MECHANISMS OF LONG-TERM MEMORY AS A KEY SKILL IN THE FORMATION OF PROFESSIONAL ACTIVITY READINESS AMONG FUTURE INTERPRETERS

The paper examines the leading role of long-term memory in preparing future translators for professional activity. The focus is put on the issue of long-term vocabulary assimilation and its control. The authors compile a list of recommendations on how to organize the learning process to ensure the effective assimilation of vocabulary. The necessity of transition of the learned vocabulary into long-term memory is considered. Another discussion point of the paper is the need to develop an understanding the root of difficulties in understanding of foreign speech in listening and in speaking, which are rooted primarily in a lack of vocabulary in long-term memory.