Speech Recognition Ability Research Articles

Audiological and Subjective Benefits in a Child with Microtia and Atresia After Sequential Bilateral Implantation with Active Bone Conduction Devices: A Case Study

Background: With bilateral hearing loss, the main problems for the patient are speech understanding in noise and, especially in asymmetrical hearing loss, an inability to correctly localize sound sources. There are multiple methods of treatment and rehabilitation for people with conductive hearing loss, and one of them is to use an active bone conduction implant. This case study is designed to evaluate the auditory benefits and sound localization accuracy with active bilateral bone conduction implants—in comparison to unilateral ones—in a patient with congenital bilateral conductive hearing loss caused by a congenital malformation. We assess subjective and audiological benefits (functional, directional hearing, speech comprehension in quiet and noise). Case report: This study describes the results in a 15-year-old patient with bilateral congenital malformation of the outer ears and associated conductive hearing loss who was treated with two Bonebridge active bone conduction implants. Speech recognition ability, hearing thresholds, and sound localization were tested under three conditions: unaided, unilateral on the right-side, and bilateral on both sides. The patient filled in an Abbreviated Profile of Hearing Aid Benefit questionnaire (APHAB) to evaluate limitations in daily life caused by hearing impairment. The results show an improvement in free-field hearing thresholds and the ability to discriminate speech, both in quiet and in noise after implantation. Subjectively, the patient had significantly fewer problems with two implants than with one (or with no implant) in terms of hearing in everyday situations. Conclusions: Unilateral use of the Bonebridge device in a patient with congenital bilateral conductive hearing loss did not provide full benefits. However, bilateral implantation improved speech understanding in noise and sound localization.

Speech Recognition and Subjective Hearing Abilities for Electric-Acoustic Stimulation Users With Unilateral Hearing Loss.

Some cochlear implant (CI) recipients with unilateral hearing loss (UHL) have functional acoustic hearing in the implanted ear, warranting the fitting of an ipsilateral electric-acoustic stimulation (EAS) device. The present study assessed speech recognition and subjective hearing abilities over time for EAS users with UHL. Prospective, repeated-measures. Tertiary referral center. Adult CI recipients with normal-to-moderate low-frequency acoustic thresholds in the implanted ear and a contralateral pure-tone average (0.5, 1, and 2 kHz) ≤25 dB HL. Participants were evaluated preoperatively and at 1, 3, and 6 months post-activation. Speech recognition for the affected ear was evaluated with CNC words in quiet. Masked speech recognition in the bilateral condition was evaluated with AzBio sentences in a 10-talker masker (0 dB SNR) for three spatial configurations: target from the front and masker either colocated with the target or presented 90 degrees toward the affected or contralateral ear. Responses to the Speech, Spatial, and Qualities of Hearing Scale subscales were used to assess subjective hearing abilities. Participants experienced significant improvements in CNC scores ( F(3,13) = 14.90, p < 0.001), and masked speech recognition in the colocated ( F(3,11) = 3.79, p = 0.043) and masker toward the contralateral ear ( F(3,11) = 4.75, p = 0.023) configurations. They also reported significantly better abilities on the Speech Hearing ( F(3,13) = 5.19, p = 0.014) and Spatial Hearing ( F(3,13) = 10.22, p = 0.001) subscales. Adults with UHL and functional acoustic hearing in the implanted ear experience significant improvements in speech recognition and subjective hearing abilities within the initial months of EAS use as compared with preoperative performance and perceptions.

Development of 20-Talker Korean Sentence In Noise Test Lists

Purpose: Clinical speech recognition measures often present the sentences recorded with a single speaker and one rate of speech. Performances with single-talker recordings may not accurately represent the speech recognition abilities of the listeners in a multitalker communication situation. The present study aimed to construct and optimize the sentences recorded by 20 different talkers for sentence-in-noise recognition tests (20-talker Korean sentence-in-noise test, 20-talker K-SIN).Methods: Phases I and II were conducted in this study. In phase I (developmental phase), preliminary 720 sentences composed of 3 to 6 words were selected and recorded by twenty different talkers (10 male and 10 female). The recorded sentences were superimposed to generate a speech-shaped noise similar to the long-term average speech spectrum of the sentences. In phase II (optimization and formation of equally intelligible sentence lists), the psychometric functions of 30 normal-hearing listeners were obtained from the sentence-in-noise recognition scores at three different signal-to-noise ratios (SNRs) (-2, -4, and -7 dB). Based on these scores, the SNR required for 50% sentence intelligibility (SNR-50) and the slope at that point were derived from the psychometric function curves.Results: Before level adjustment, the median SNR-50 and slope were -4.12 dB SNR and 24.33%/dB over 720 sentences. Level adjustments were applied to homogenize the intelligibility of the sentences, resulting in 508 sentences remained. Out of 508 sentences, 320 sentences were used to construct 1 practice list and 15 test lists, wherein 20 sentences in each list were spoken by each of the 20 different talkers.Conclusion: The 20-talker K-SIN sentences can be used for high-variability speech-in-noise recognition test to better reflect the multitalker communication abilities of listeners.

Age and masking effects on acoustic cues for vowel categorizationa).

Age-related changes in auditory processing may reduce physiological coding of acoustic cues, contributing to older adults' difficulty perceiving speech in background noise. This study investigated whether older adults differed from young adults in patterns of acoustic cue weighting for categorizing vowels in quiet and in noise. All participants relied primarily on spectral quality to categorize /ɛ/ and /æ/ sounds under both listening conditions. However, relative to young adults, older adults exhibited greater reliance on duration and less reliance on spectral quality. These results suggest that aging alters patterns of perceptual cue weights that may influence speech recognition abilities.

The Output Signal-to-Noise Ratio and Speech Perception in Noise: The Effect of Multichannel and Free-Channel Hearing Aids

Background and Aim: The output Signal-to-Noise Ratio (SNR) is one of the essential factors in hearing aid benefits. There is limited evidence regarding SNR improvement by the Channel-Free (CFHA) and Multi-Channel Hearing Aid (MCHA) and the speech understanding in noise through them. This study aimed to investigate the extent to which output SNR was modified by CFHA and MCHA processing and the variation in aided speech recognition abilities with a change in output SNR. Methods: Thirty-six participants aged 50–65 years were included. A chosen CFHA and MCHA were used to obtain the output SNR and sentence recognition in noise in four different processing algorithms (linear, linear+noise reduction, WDRC, WDRC+noise reduction). Hagerman’s phase inversion technique was used to measure the attenuation of noise and, in turn, to obtain the output SNR of the hearing aid. Results: In all hearing aid processing algorithms among those with normal hearing and people with hearing loss, the output of CFHA revealed higher attenuation values than that of MCHA. There was a significant effect of the hearing aids and processing algorithms in both normal and individuals with hearing impairment on the mean SNR. Further, multiple linear regression analysis results showed that whether the hearing is channel-free or multi- channel significantly predicted speech recognition scores, while output SNR and processing algorithms did not. Conclusion: The signal processing algorithms in CFHA had greater noise attenuation values, better output SNR, and speech recognition scores, showing an advantage over the modern MCHA among individuals with hearing impairment. Keywords: Channel-free hearing aids; multi-channel hearing aids; sensorineural hearing loss; speech recognition

Aberrant auditory metabolite levels and topological properties are associated with cognitive decline in presbycusis patients.

Presbycusis has been reported as related to cognitive decline, but its underlying neurophysiological mechanism is still unclear. This study aimed to investigate the relationship between metabolite levels, cognitive function, and node characteristics in presbycusis based on graph theory methods. Eighty-four elderly individuals with presbycusis and 63 age-matched normal hearing controls underwent magnetic resonance spectroscopy, functional magnetic resonance imaging scans, audiological assessment, and cognitive assessment. Compared with the normal hearing group, presbycusis patients exhibited reduced gamma-aminobutyric acid and glutamate levels in the auditory region, increased nodal characteristics in the temporal lobe and precuneus, as well as decreased nodal characteristics in the superior occipital gyrus and medial orbital. The right gamma-aminobutyric acid levels were negatively correlated with the degree centrality in the right precuneus and the executive function. Degree centrality in the right precuneus exhibited significant correlations with information processing speed and executive function, while degree centrality in the left medial orbital demonstrated a negative association with speech recognition ability. The degree centrality and node efficiency in the superior occipital gyrus exhibited a negative association with hearing loss and speech recognition ability, respectively. These observed changes indicate alterations in metabolite levels and reorganization patterns at the brain network level after auditory deprivation.

Speech Audiometry: The Development of Lithuanian Bisyllabic Phonemically Balanced Word Lists for Evaluation of Speech Recognition

Background and Objectives: Speech audiometry employs standardized materials, typically in the language spoken by the target population. Language-specific nuances, including phonological features, influence speech perception and recognition. The material of speech audiometry tests for the assessment of word recognition comprises lists of words that are phonemically or phonetically balanced. As auditory perception is influenced by a variety of linguistic features, it is necessary to develop test materials for the listener’s mother tongue. The objective of our study was to compose and evaluate new lists of Lithuanian words to assess speech recognition abilities. Materials and Methods: The main criteria for composing new lists of Lithuanian words included the syllable structure and frequency, the correlation between consonant and vowel phonemes, the frequency of specific vowel and consonant phonemes, word familiarity and rate. The words for the new lists were chosen from the Frequency Dictionary of Written Lithuanian according to the above criteria. Word recognition was assessed at different levels of presentations. The word list data were analyzed using a linear mixed-effect model for repeated measures. Results: Two hundred bisyllabic words were selected and organized into four lists. The results showed no statistically significant difference between the four sets of words. The interaction of the word list and presentation level was not statistically significant. Conclusions: Monaural performance functions indicated good inter-list reliability with no significant differences between the word recognition scores on the different bisyllabic word lists at each of the tested intensities. The word lists developed are equivalent, reliable and can be valuable for assessing speech recognition in a variety of conditions, including diagnosis, hearing rehabilitation and research.

Enhancing Speech Recognition in Adverse Listening Environments: The Impact of Brief Musical Training on Older Adults

The present research investigated the effects of short-term musical training on speech recognition in adverse listening conditions in older adults. A total of 30 Kannada-speaking participants with no history of gross otologic, neurologic, or cognitive problems were divided equally into experimental (M = 63 years) and control groups (M = 65 years). Baseline and follow-up assessments for speech in noise (SNR50) and reverberation was carried out for both groups. The participants in the experimental group were subjected to Carnatic classical music training, which lasted for seven days. The Bayesian likelihood estimates revealed no difference in SNR50 and speech recognition scores in reverberation between baseline and followed-up assessment for the control group. Whereas, in the experimental group, the SNR50 reduced, and speech recognition scores improved following musical training, suggesting the positive impact of music training. The improved performance on speech recognition suggests that short-term musical training using Carnatic music can be used as a potential tool to improve speech recognition abilities in adverse listening conditions in older adults.

Frequency-to-Place Mismatch Impacts Cochlear Implant Quality of Life, But Not Speech Recognition.

To retrospectively compare frequency-place mismatch among adult cochlear implant (CI) recipients with lateral wall (LW) and perimodiolar/Mid Scala (PM/MS) arrays, and to quantify the impact of these factors on early post-activation (3 months) speech recognition abilities and CI-specific quality of life. One hundred and twenty-six adult participants were separated into two groups: (1) 83 participants who underwent CI with a PM/MS array and 43 patients who underwent CI with a LW array. All participants completed the Cochlear Implant Quality of Life Profile (CIQOL-35 Profile) instrument. Angular insertion depth and semitone mismatch, which contribute to frequency-place mismatch, were assessed using post-operative CT scans. Word and speech recognition in quiet were determined using the Consonant-Nucleus-Consonant (CNC) and the AzBio tests, respectively (n = 82 patients). LW arrays were more deeply inserted and exhibited less semitone mismatch compared to PM/MS arrays. No significant relationship was found between semitone mismatch and early post-operative speech perception scores for either PM/MS or LW arrays. However, greater degrees of semitone mismatch were associated with lower CIQOL-35 profile scores for PM/MS arrays. The results of this study indicate that both the degree of frequency-place mismatch, and its impact on CI-specific quality of life, vary by CI array design. 4 Laryngoscope, 134:2898-2905, 2024.

A Study of Artificial Intelligence-Driven Educational Intervention Strategies for Students with Special Educational Needs

Abstract This paper first introduces the intervention path of artificial intelligence in special education. It then takes the deaf and hard-of-hearing people as the research object, adopts artificial intelligence technology, digitizes the speech signal, performs sound-rhyme syncopation, and constructs an interactive speech evaluation system using the HMM model as the evaluation basis. Finally, this paper discusses the effect of an interactive speech recognition model on special education interventions and describes the future development trend of combining artificial intelligence and special education. The results show that the subjects’ passive response to basic interactive speech in the baseline period showed a stable state, the interactive speech ability in the intervention period showed stable progress, and the subjects’ ability in the maintenance period remained at a high level. In the three periods, the posttest error rates of the experimental group testers on semantic recognition were 40%, 30%, and 10%, respectively, whereas the control group was 80%, 70%, and 65%, respectively, which shows that the semantic network training affected the improvement of the speech recognition ability of the 10 subjects. The mean values of the average error rate of the three stages of the experimental group were 7.53%, 2.44%, and 2.07%, and their average recognition times were 1566.73 seconds, 1051.30 seconds, and 463.55 seconds, respectively. The three-stage semantic recognition training significantly improves the subjects’ semantic recognition ability and reduces the recognition time. The integration of artificial intelligence and special education is critical for special education groups’ education and healing.

Analysis of clinical audiological characteristics of noise-induced silent hearing loss

Objective: To explore the characteristics of audiology examination of Noise-Induced Hidden Hearing Loss (NIHHL), and then explore its valuable diagnostic methods.Methods: A total of 80 young men aged between 19 and 35 were selected. They were classified into the experimental group with noise exposure history and the control group without noise exposure history, with 40 men in each group. We carried out extended high-frequency audiometry test for good ears; conducted speech in noise measurement and distortion product emission for good ears; DPOAE test, compare and analyze the results of each test.Results: The extended high frequency hearing threshold test results showed that the hearing threshold of the experimental group was larger than that of the control group at the frequency above 8kHz, with significant statistical difference (p &lt; .01). The results of speech audiometry under noise showed that the signal-to-noise ratio loss in the experimental group was greater than that in the control group, with a significant statistical difference (p &lt; .01). The results of otoacoustic emission showed that the signal-to-noise ratio of the experimental group was lower than that of the control group at the frequency of 6 kHz and above, with a statistically significant difference (p &lt; .01). There is a correlation between pure tone audiometry and DPOAE test results at high frequencies (6 kHz: p &lt;. 0001, r = -.478; 8 kHz: p &lt; .0001, r = -.491;) ; There was a correlation between speech audiometry and DPOAE test results under noise (p = .031, r = -.299).Conclusion: Compared with the control group, the extended high frequency pure tone hearing threshold increased or could not be elicited in the experimental group, speech recognition ability decreased significantly under noise, DPOAE was normally elicited but signal-to-noise ratio decreased, and there was a certain correlation between them. The above three audiological examination methods have a certain reference value for early recognition of hidden hearing loss.

Role of early hearing aid experience in speech recognition in patients with bilateral congenital microtia following Bonebridge implantation: a retrospective cohort study.

To identify audiological and demographic variables that predict speech recognition abilities in patients with bilateral microtia who underwent Bonebridge (BB) implantation. Fifty patients with bilateral microtia and bilateral conductive hearing loss (CHL) who underwent BB implantation were included. Demographic data, preoperative hearing aid use experience, and audiological outcomes (including pure-tone hearing threshold, sound field hearing threshold [SFHT], and speech recognition ability) for each participant were obtained. The Chinese-Mandarin Speech Test Materials were used to test speech recognition ability. The word recognition score (WRS) of disyllabic words at 65dB SPL signals was measured before and after BB implantation in quiet and noisy conditions. The mean preoperative WRS under quiet and noisy conditions was 10.44 ± 12.73% and 5.90 ± 8.76%, which was significantly improved to 86.38 ± 9.03% and 80.70 ± 11.34%, respectively, following BB fitting. Multiple linear regression analysis revealed that lower preoperative SFHT suggested higher preoperative WRS under both quiet and noisy conditions. Higher age at implantation predicted higher preoperative WRS under quiet conditions. Furthermore, patients with more preoperative hearing aid experience and lower postoperative SFHT were more likely to have higher postoperative WRS under both quiet and noisy testing conditions. This study represents the first attempt to identify predictors of preoperative and postoperative speech recognition abilities in patients with bilateral microtia with BB implantation. These findings emphasize that early hearing intervention before implantation surgery, combined with appropriate postoperative fitting, contributes to optimal benefits in terms of postoperative speech recognition ability.

Allocation of cognitive resources for older adults with normal or impaired hearing when listening to temporally degraded and masked speech

Hearing impairment may affect how older listeners allocate cognitive resources when communicating in challenging environments. Older adults with normal or impaired hearing completed three speech recognition studies. The studies consisted of 15-16 measures of temporally filtered speech with (1) degraded spectral cues, (2) competing speech-modulated noise, and (3) speech vocoding in speech-modulated noise. Generalization was assessed with measures of speech interruption, segregation, and multitalker masking. To account for audibility differences, all listeners received spectral shaping fit to their hearing thresholds. Measures in each study were reduced to a single principal component (PC) that represented speech recognition abilities. Participants also completed a cognitive test battery that yielded domain-specific PCs and a measure of speech glimpsing. For each study, hierarchical linear regression analysis was completed separately for subgroups of older adults with normal or impaired hearing using cognitive PCs as predictor variables, followed by speech glimpsing, age, and hearing thresholds. Vocabulary knowledge was the best predictor of speech recognition for older adults with normal hearing, whereas working memory consistently explained ∼30%-40% of the variance in recognition for older adults with hearing loss. Thus, even with sufficient audibility, hearing impairment may alter allocation of cognitive resources for older adults listening to degraded speech.

Assessment of High-variability Speech Recognition in Adult Cochlear Implant Users using PRESTO.

Speech recognition in adult cochlear implant (CI) users is typically assessed using sentence materials with low talker variability. Little is known about the effects of talker variability on speech recognition in adult CI users, the factors underlying individual differences in speech recognition with high talker variability, or how sentence materials with high talker variability could be utilized clinically. To examine the effects of talker variability on sentence recognition in adult CI users, using sentences from the Perceptually Robust English Sentence Test Open-Set (PRESTO), and to examine the relation between working memory capacity and high-variability speech recognition. Postlingually deafened adult CI users and normal-hearing (NH) listeners under CI simulation completed sentence recognition tests that contained varying levels of talker variability, including HINT (low-variability), AzBio (moderate-variability), and PRESTO sentences (high-variability). The tasks were completed in both quiet and multi-talker babble (MTB). For the adult CI users only, the relation between sentence recognition accuracy and working memory capacity was assessed. Twenty postlingually deafened adult CI users and 35 NH adults under 8-channel acoustic noise-vocoder simulations of CI hearing. In both CI and NH groups, performance decreased as a function of increased talker variability, with the best scores obtained on HINT (low-variability), then AzBio (moderate-variability), followed by PRESTO (high-variability) in quiet. In MTB, performance was significantly lower on PRESTO sentences, compared to HINT and AzBio sentences, which were not significantly different. Working memory capacity in the CI users was related to sentence recognition accuracy across all materials and conditions. Findings from the current study suggest that the increased talker variability in the PRESTO sentence materials has a detrimental effect on speech recognition in both adult CI users and NH listeners under CI simulation, particularly when speech is further degraded by MTB. For adult CI users, working memory capacity contributes to speech recognition abilities. Sentence recognition testing with high-variability, multi-talker materials, as in PRESTO, provides robust assessment of speech recognition abilities for research and clinical application, generating a wide range of scores for evaluating individual differences without ceiling effects when compared to conventional low-variability sentences.

Combined effects of face masks, acoustic environments, and speaker gender on speech recognition ability of university students in an auralised classroom

The prolonged use of face masks owing to COVID-19 has raised concerns regarding their effects on speech recognition in classroom settings. Currently, the influence of gender corresponding to the effects of face masks on speech recognition has not been studied. This study investigated the combined effects of gender and face masks (non-masked, surgical, horizontally folded and vertically folded KF94 masks) on speech recognition with the participation of two professional voice actors (1 female and 1 male) and university students (36 females and 35 males) using an auralisation technique under realistic listening conditions that included the effects of both room reverberance (RTs of 0.6 s and 1.2 s) and background noise according to teaching style (SNR of 0 dB for team learning and SNR of 12 dB for lectures). The results of this study revealed that speech recognition was significantly affected by four factors - face mask, acoustic environment, speakers’ and listeners’ gender tested in this study with different effect sizes. The room acoustic environments had the greatest effect on speech recognition, followed by speaker gender, face mask, and listener gender. High signal-to-noise ratio (lectures) in the classroom improved speech recognition in all face masked conditions including a non-masked condition compared to the low signal-to-noise ratio (team learning). In the three face masked conditions, reduced reverberation time of 0.6 s did not significantly affect speech recognition.Consequently, this study suggests that appropriate signal-to-noise ratio should be prioritized over reverberation time, face mask type, or speaker gender in mask-wearing conditions to improve speech recognition in classrooms.

The Effects of BCDs in Unilateral Conductive Hearing Loss: A Systematic Review.

Bone conduction devices (BCDs) are widely used in the treatment of conductive hearing loss (CHL), but their applications on unilateral CHL (UCHL) patients remain controversial. To evaluate the effects of BCDs in UCHL, a systematic search was undertaken until May 2023 following the PRISMA guidelines. Among the 391 references, 21 studies met the inclusion criteria and were ultimately selected for review. Data on hearing thresholds, speech recognition, sound localization, and subjective questionnaire outcomes were collected and summarized. Moderate hearing threshold improvements were found in UCHL patients aided with BCDs. Their speech recognition abilities improved significantly. However, sound localization results showed wide individual variations. According to subjective questionnaires, BCDs had an overall positive influence on the daily life of UCHL patients, although several unfavorable experiences were reported by some of them. We concluded that the positive audiological benefits and subjective questionnaire results have made BCDs a credible intervention for UCHL patients. Before final implantations, UCHL patients should first go through a period of time when they were fitted with non-implantable BCDs as a trial.

The role of suprathreshold auditory processing abilities in children with specific learning disorder.

To assess the suprathreshold auditory processing and speech recognition abilities in noise in children with specific learning disorder (SLD). A group of twenty-five children diagnosed with SLD and a control group of twenty-five neuro-typical children were included in the study. All the participants were between 6-11 years old. To evaluate suprathreshold auditory processing abilities, the participants were given the Temporal Fine Structure (TFS) Sensitivity Test and the Temporal Envelope (TE) Sensitivity Test, as well as the Consonant Identification Test, was administered to evaluate speech recognition ability in noise. In addition, the Wechsler Intelligence Scale for Children - Fourth Edition (WISC-IV) intelligence test was applied to children with SLD, and the relationship between WISC-IV intelligence test scores in different skills and suprathreshold auditory processing and speech recognition abilities in noise was investigated. Significant differences were found between children diagnosed with SLD and neuro-typical children in terms of suprathreshold auditory processing tasks and speech recognition in noise. Additionally, no correlation was found between suprathreshold auditory processing tasks, speech recognition in noise, and intelligence tests. Suprathreshold auditory processing and speech recognition abilities in noise were found to be affected in children with SLD. A holistic evaluation including a multidisciplinary approach that includes suprathreshold auditory processing abilities is required for children diagnosed with SLD.

Influence of Speech Recognition Ability on Acceptable Noise Level for Mandarin (Chinese) Speakers with Normal Hearing

Introduction: Noise can induce hearing loss and reduce speech understanding. The Acceptable Noise Level (ANL) test has been widely used in audiology. However, strategies used by listeners to determine ANLs are unclear. The current study evaluated the role of speech recognition in selecting ANL and how well ANL could predict speech understanding in a noisy situation. Methods: Forty-five Mandarin speakers with normal hearing were tested in both ears. ANL is defined as Most Comfortable Level (MCL) minus Background Noise Level (BNL). To obtain ANL monaurally with an earphone, the study measured participants’ MCL to hear a Mandarin story in quiet and the maximum BNL to tolerate while following the story. Then, based on the participant’s ANL, speech recognition in noise was examined using a set of phonemic-balanced Mandarin words. The signal-to-noise ratio (SNR) was adjusted to ANL, ANL – 10 dB (“degraded noise condition”), and ANL + 10 dB (“improved noise condition”). Results: The mean ANLs were 2.4 dB and 2.6 dB for the left and right ears, respectively. The mean speech recognition with SNR adjusted to ANL was relatively high for both ears (81–83% correct). Even for those ear samples with very low ANL (<0 dB), speech performance obtained at SNR = ANL was still high. The mean speech recognition obtained at SNR = ANL was 5 percentage points lower than the mean speech recognition at the improved noise condition and 14 percentage points higher than the mean speech recognition at the degraded noise condition. Speech recognition obtained at SNR = ANL and ANL − 10 dB correlated significantly with ANL. Conclusion: Speech recognition in noise appears to play an important role for listeners with normal hearing in deciding their ANLs. Additionally, ANL can predict speech performance (r-squared = 53–61%) in the degraded noise condition.

Influence of hearing aid on speech recognition ability, psychology and cognitive function of presbycusis

老年性听力损失，又称年龄相关性听力损失（age-related hearing loss，ARHL），不仅造成患者听力下降，还会导致日常言语交流能力下降、认知功能减退，出现抑郁、焦虑等心理症状。大量研究表明，助听器对ARHL患者的言语识别、心理和认知功能具有改善和保护作用，但我国在该领域的相关研究正处于起步阶段。本综述梳理近年来助听器在言语识别、心理、认知三方面对ARHL患者的影响，在介绍国内助听器使用现状的同时，对未来推动助听器在ARHL领域的应用提出思考和建议。.

The impact of temporally coherent visual and vibrotactile cues on speech recognition in noise.

Inputs delivered to different sensory organs provide us with complementary speech information about the environment. The goal of this study was to establish which multisensory characteristics can facilitate speech recognition in noise. The major finding is that the tracking of temporal cues of visual/tactile speech synced with auditory speech can play a key role in speech-in-noise performance. This suggests that multisensory interactions are fundamentally important for speech recognition ability in noisy environments, and they require salient temporal cues. The amplitude envelope, serving as a reliable temporal cue source, can be applied through different sensory modalities when speech recognition is compromised.