scholarly journals Transient noise reduction in cochlear implant users: a multi-band approach

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Karl-Heinz Dyballa ◽  
Phillipp Hehrmann ◽  
Volkmar Hamacher ◽  
Thomas Lenarz ◽  
Andreas Buechner
Keyword(s):  
Cochlear Implant ◽  
Noise Reduction ◽  
Speech Intelligibility ◽  
Single Band ◽  
Processing Conditions ◽  
Multiple Frequency ◽  
Speech Processor ◽  
Speech Reception ◽  
Speech Reception Thresholds ◽  
Multi Band

A previously-tested transient noise reduction (TNR) algorithm for cochlear implant (CI) users was modified to detect and attenuate transients independently across multiple frequency-bands. Since speech and transient noise are often spectrally distinct, we hypothesized that benefits in speech intelligibility can be achieved over the earlier single- band design. Fifteen experienced CI users (49 to 72 years) were tested unilaterally using pre-processed stimuli delivered directly to a speech processor. Speech intelligibility in transient and soft stationary noise, subjective sound quality and the recognition of warning signals was investigated in three processing conditions: no TNR (TNRoff), single- band TNR (TNRsgl) and multi-band TNR (TNRmult). Notably, TNRmult improved speech reception thresholds (SRTs) in cafeteria noise and office noise by up to 3 dB over both TNRoff and TNRsgl, and yielded higher comfort and clarity ratings in cafeteria noise. Our results indicate that multi-band transient noise reduction may be advantageous compared to a single-band approach, and reveal a substantial overall potential for TNR to improve speech perception and listening comfort in CI users.

Improved Environment-Aware–Based Noise Reduction System for Cochlear Implant Users Based on Knowledge Transfer Approach (Preprint)

2020 ◽  
Author(s):  
Lieber Po-Hung Li ◽  
Ji-Yan Han ◽  
Wei-Zhong Zheng ◽  
Ren-Jie Huang ◽  
Ying-Hui Lai
Keyword(s):  
Knowledge Transfer ◽  
Cochlear Implant ◽  
Noise Reduction ◽  
Speech Intelligibility ◽  
Middle Layer ◽  
Successful Implementation ◽  
Perceptual Evaluation ◽  
Reduction System ◽  
Listening Tests ◽  
Implementation Costs

BACKGROUND The cochlear implant technology is a well-known approach to help deaf patients hear speech again. It can improve speech intelligibility in quiet conditions; however, it still has room for improvement in noisy conditions. More recently, it has been proven that deep learning–based noise reduction (NR), such as noise classification and deep denoising autoencoder (NC+DDAE), can benefit the intelligibility performance of patients with cochlear implants compared to classical noise reduction algorithms. OBJECTIVE Following the successful implementation of the NC+DDAE model in our previous study, this study aimed to (1) propose an advanced noise reduction system using knowledge transfer technology, called NC+DDAE_T, (2) examine the proposed NC+DDAE_T noise reduction system using objective evaluations and subjective listening tests, and (3) investigate which layer substitution of the knowledge transfer technology in the NC+DDAE_T noise reduction system provides the best outcome. METHODS The knowledge transfer technology was adopted to reduce the number of parameters of the NC+DDAE_T compared with the NC+DDAE. We investigated which layer should be substituted using short-time objective intelligibility (STOI) and perceptual evaluation of speech quality (PESQ) scores, as well as t-distributed stochastic neighbor embedding to visualize the features in each model layer. Moreover, we enrolled ten cochlear implant users for listening tests to evaluate the benefits of the newly developed NC+DDAE_T. RESULTS The experimental results showed that substituting the middle layer (ie, the second layer in this study) of the noise-independent DDAE (NI-DDAE) model achieved the best performance gain regarding STOI and PESQ scores. Therefore, the parameters of layer three in the NI-DDAE were chosen to be replaced, thereby establishing the NC+DDAE_T. Both objective and listening test results showed that the proposed NC+DDAE_T noise reduction system achieved similar performances compared with the previous NC+DDAE in several noisy test conditions. However, the proposed NC+DDAE_T only needs a quarter of the number of parameters compared to the NC+DDAE. CONCLUSIONS This study demonstrated that knowledge transfer technology can help to reduce the number of parameters in an NC+DDAE while keeping similar performance rates. This suggests that the proposed NC+DDAE_T model may reduce the implementation costs of this noise reduction system and provide more benefits for cochlear implant users.

Listening Effort With Cochlear Implant Simulations

2013 ◽  
Vol 56 (4) ◽  
pp. 1075-1084 ◽  
Author(s):  
Carina Pals ◽  
Anastasios Sarampalis ◽  
Deniz Başkent
Keyword(s):  
Cochlear Implant ◽  
Spectral Resolution ◽  
Speech Intelligibility ◽  
Self Report ◽  
Cognitive Resources ◽  
Visual Response ◽  
Processing Conditions ◽  
Listening Effort ◽  
Dual Task Paradigm ◽  
Spectral Channels

Purpose Fitting a cochlear implant (CI) for optimal speech perception does not necessarily optimize listening effort. This study aimed to show that listening effort may change between CI processing conditions for which speech intelligibility remains constant. Method Nineteen normal-hearing participants listened to CI simulations with varying numbers of spectral channels. A dual-task paradigm combining an intelligibility task with either a linguistic or nonlinguistic visual response-time (RT) task measured intelligibility and listening effort. The simultaneously performed tasks compete for limited cognitive resources; changes in effort associated with the intelligibility task are reflected in changes in RT on the visual task. A separate self-report scale provided a subjective measure of listening effort. Results All measures showed significant improvements with increasing spectral resolution up to 6 channels. However, only the RT measure of listening effort continued improving up to 8 channels. The effects were stronger for RTs recorded during listening than for RTs recorded between listening. Conclusion The results suggest that listening effort decreases with increased spectral resolution. Moreover, these improvements are best reflected in objective measures of listening effort, such as RTs on a secondary task, rather than intelligibility scores or subjective effort measures.

scholarly journals The Effect of Binaural Beamforming Technology on Speech Intelligibility in Bimodal Cochlear Implant Recipients

2018 ◽  
Vol 23 (1) ◽  
pp. 32-38 ◽  
Author(s):  
Jantien L. Vroegop ◽  
Nienke C. Homans ◽  
André Goedegebure ◽  
J. Gertjan Dingemanse ◽  
Teun van Immerzeel ◽  
...  
Keyword(s):  
Cochlear Implant ◽  
Repeated Measures ◽  
Speech Intelligibility ◽  
Real Life ◽  
Speech Comprehension ◽  
Noise Sources ◽  
Additional Advantage ◽  
Listening Condition ◽  
Repeated Measures Design ◽  
Speech Reception Thresholds

Although the benefit of bimodal listening in cochlear implant users has been agreed on, speech comprehension remains a challenge in acoustically complex real-life environments due to reverberation and disturbing background noises. One way to additionally improve bimodal auditory performance is the use of directional microphones. The objective of this study was to investigate the effect of a binaural beamformer for bimodal cochlear implant (CI) users. This prospective study measured speech reception thresholds (SRT) in noise in a repeated-measures design that varied in listening modality for static and dynamic listening conditions. A significant improvement in SRT of 4.7 dB was found with the binaural beamformer switched on in the bimodal static listening condition. No significant improvement was found in the dynamic listening condition. We conclude that there is a clear additional advantage of the binaural beamformer in bimodal CI users for predictable/static listening conditions with frontal target speech and spatially separated noise sources.

scholarly journals Spatial Speech-in-Noise Performance in Bimodal and Single-Sided Deaf Cochlear Implant Users

2019 ◽  
Vol 23 ◽  
pp. 233121651985831 ◽  
Author(s):  
Ben Williges ◽  
Thomas Wesarg ◽  
Lorenz Jung ◽  
Leontien I. Geven ◽  
Andreas Radeloff ◽  
...  
Keyword(s):  
Cochlear Implant ◽  
Normal Hearing ◽  
Head Movements ◽  
Control Group ◽  
Noise Performance ◽  
Speech In Noise ◽  
Speech Reception ◽  
Patient Groups ◽  
Speech Reception Thresholds ◽  
Binaural Listening

This study compared spatial speech-in-noise performance in two cochlear implant (CI) patient groups: bimodal listeners, who use a hearing aid contralaterally to support their impaired acoustic hearing, and listeners with contralateral normal hearing, i.e., who were single-sided deaf before implantation. Using a laboratory setting that controls for head movements and that simulates spatial acoustic scenes, speech reception thresholds were measured for frontal speech-in-stationary noise from the front, the left, or the right side. Spatial release from masking (SRM) was then extracted from speech reception thresholds for monaural and binaural listening. SRM was found to be significantly lower in bimodal CI than in CI single-sided deaf listeners. Within each listener group, the SRM extracted from monaural listening did not differ from the SRM extracted from binaural listening. In contrast, a normal-hearing control group showed a significant improvement in SRM when using two ears in comparison to one. Neither CI group showed a binaural summation effect; that is, their performance was not improved by using two devices instead of the best monaural device in each spatial scenario. The results confirm a “listening with the better ear” strategy in the two CI patient groups, where patients benefited from using two ears/devices instead of one by selectively attending to the better one. Which one is the better ear, however, depends on the spatial scenario and on the individual configuration of hearing loss.

Transcranial Contralateral Cochlear Stimulation in Unilateral Deafness

2003 ◽  
Vol 129 (3) ◽  
pp. 248-254 ◽  
Author(s):  
Jack J. Wazen ◽  
Jaclyn B. Spitzer ◽  
Soha N. Ghossaini ◽  
José N. Fayad ◽  
John K. Niparko ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Hearing Aids ◽  
Speech Intelligibility ◽  
Recognition Performance ◽  
Auditory Stimuli ◽  
Unilateral Deafness ◽  
Speech Reception ◽  
Speech Reception Thresholds ◽  
Single Sided Deafness

OBJECTIVES: The purpose of this study is to evaluate the effectiveness of Bone Anchored Cochlear Stimulator (BAHA) in transcranial routing of signal by implanting the deaf ear. STUDY DESIGN AND SETTINGS: Eighteen patients with unilateral deafness were included in a multisite study. They had a 1-month pre-implantation trial with a contralateral routing of signal (CROS) hearing aid. Their performance with BAHA was compared with the CROS device using speech reception thresholds, speech recognition performance in noise, and the Abbreviated Profile Hearing Benefit and Single Sided Deafness questionnaires. RESULTS: Patients reported a significant improvement in speech intelligibility in noise and greater benefit from BAHA compared with CROS hearing aids. Patients were satisfied with the device and its impact on their quality of life. No major complications were reported. CONCLUSION AND SIGNIFICANCE: BAHA is effective in unilateral deafness. Auditory stimuli from the deaf side can be transmitted to the good ear, avoiding the limitations inherent in CROS amplification.

scholarly journals Effect of Noise Reduction Gain Errors on Simulated Cochlear Implant Speech Intelligibility

2019 ◽  
Vol 23 ◽  
pp. 233121651982593
Author(s):  
Abigail A. Kressner ◽  
Tobias May ◽  
Torsten Dau
Keyword(s):  
Cochlear Implant ◽  
Noise Reduction ◽  
Speech Intelligibility ◽  
Low Frequency ◽  
Noise Estimation ◽  
Estimation Errors ◽  
Two Factors ◽  
Gain Errors ◽  
Speech Segments ◽  
Noise Reduction Algorithm

It has been suggested that the most important factor for obtaining high speech intelligibility in noise with cochlear implant (CI) recipients is to preserve the low-frequency amplitude modulations of speech across time and frequency by, for example, minimizing the amount of noise in the gaps between speech segments. In contrast, it has also been argued that the transient parts of the speech signal, such as speech onsets, provide the most important information for speech intelligibility. The present study investigated the relative impact of these two factors on the potential benefit of noise reduction for CI recipients by systematically introducing noise estimation errors within speech segments, speech gaps, and the transitions between them. The introduction of these noise estimation errors directly induces errors in the noise reduction gains within each of these regions. Speech intelligibility in both stationary and modulated noise was then measured using a CI simulation tested on normal-hearing listeners. The results suggest that minimizing noise in the speech gaps can improve intelligibility, at least in modulated noise. However, significantly larger improvements were obtained when both the noise in the gaps was minimized and the speech transients were preserved. These results imply that the ability to identify the boundaries between speech segments and speech gaps may be one of the most important factors for a noise reduction algorithm because knowing the boundaries makes it possible to minimize the noise in the gaps as well as enhance the low-frequency amplitude modulations of the speech.

scholarly journals Developing a speech intelligibility test based on measuring speech reception thresholds in noise for English and Finnish

2005 ◽  
Vol 118 (3) ◽  
pp. 1742-1750 ◽  
Author(s):  
Martti Vainio ◽  
Antti Suni ◽  
Hanna Järveläinen ◽  
Juhani Järvikivi ◽  
Ville-Veikko Mattila
Keyword(s):  
Speech Intelligibility ◽  
Speech Reception ◽  
Intelligibility Test ◽  
Speech Reception Thresholds

scholarly journals Binaural Speech Intelligibility in a Real Elementary Classroom

2021 ◽  
Vol 2069 (1) ◽  
pp. 012165
Author(s):  
G Minelli ◽  
G E Puglisi ◽  
A Astolfi ◽  
C Hauth ◽  
A Warzybok
Keyword(s):  
Speech Intelligibility ◽  
Noise Source ◽  
Signal To Noise Ratio ◽  
Spatial Separation ◽  
Elementary Classrooms ◽  
Acoustic Environment ◽  
Acoustic Measures ◽  
Speech Reception ◽  
Speech Intelligibility Model ◽  
Speech Reception Thresholds

Abstract Since the fundamental phases of the learning process take place in elementary classrooms, it is necessary to guarantee a proper acoustic environment for the listening activity to children immersed in them. In this framework, speech intelligibility is especially important. In order to better understand and objectively quantify the effect of background noise and reverberation on speech intelligibility various models have been developed. Here, a binaural speech intelligibility model (BSIM) is investigated for speech intelligibility predictions in a real classroom considering the effect of talker-to-listener distance and binaural unmasking due to the spatial separation of noise and speech source. BSIM predictions are compared to the well-established room acoustic measures as reverberation time (T30), clarity or definition. Objective acoustical measurements were carried out in one Italian primary school classroom before (T30= 1.43s±0.03 s) and after (T30= 0.45±0.02 s) the acoustical treatment. Speech reception thresholds (SRTs) corresponding to signal-to-noise ratio yielding 80% of speech intelligibility will be obtained through the BSIM simulations using the measured binaural room impulse responses (BRIRs). A focus on the effect of different speech and noise source spatial positions on the SRT values will aim to show the importance of a model able to deal with the binaural aspects of the auditory system. In particular, it will be observed how the position of the noise source influences speech intelligibility when the target speech source lies always in the same position.

scholarly journals Evaluation of a transient noise reduction algorithm in cochlear implant users

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Karl-Heinz Dyballa ◽  
Phillipp Hehrmann ◽  
Volkmar Hamacher ◽  
Waldo Nogueira ◽  
Thomas Lenarz ◽  
...  
Keyword(s):  
Cochlear Implant ◽  
Noise Reduction ◽  
Reduction Algorithm ◽  
Subjective Ratings ◽  
Speech Reception ◽  
Age Range ◽  
Speech Clarity ◽  
Noise Reduction Algorithm

Dealing with environmental noises presents a major issue for cochlear implant (CI) users. Hence, digital noise reduction (DNR) schemes have become important features of CI systems. Many noises like for example clinking glasses or slamming doors, have impulsive onsets and decay quickly. Common DNR algorithms cannot handle this type of noise in an appropriate way. In this study, we investigated the effect of an algorithm specially designed for such noises with 12 CI users (age range: 45 to 75 years). Speech scores in noise and quiet as well as subjective ratings of speech clarity, comfort and overall preference were measured. The main finding was a significant improvement of up to 1.7 dB of the speech reception threshold in noise as well as increased speech clarity. Speech in quiet was not negatively affected by the algorithm. The study revealed that the tested algorithm has the potential to improve CI listening. However, further research is needed regarding the effectiveness and suitability of the algorithm in daily use.

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