Little is known about the extent to which reverberation affects speech intelligibility by cochlear implant (CI) listeners. Experiment 1 assessed CI users' performance using Institute of Electrical and Electronics Engineers (IEEE) sentences corrupted with varying degrees reverberation. Reverberation times 0.30, 0.60, 0.80, 1.0 s were used. Results indicated that for all subjects tested, decreased exponentially an increase in time. A decaying-exponential model provided excellent fit data. 2...

The purpose of this study was to determine the overall impact early and late reflections on intelligibility reverberated speech by cochlear implant listeners. Two specific reverberation times were assessed. For each time, sentences presented in three different conditions wherein target signal filtered through early, or entire part acoustic impulse response. Results obtained with seven listeners indicated that while neither enhanced nor reduced perception performance, severely both reverberant tested.

In October of 2022, the US Food and Drug Administration finalized regulations establishing category self-fitting over-the-counter (OTC) hearing aids, intended to reduce barriers aid adoption for individuals with self-perceived mild moderate loss. Since then a number OTC aids have entered market, small published studies demonstrated effectiveness self-fitted intervention against traditional clinician-fitted intervention. Given variety approaches available, demonstrating effectiveness, goal...

This paper investigates to what extent users of bilateral and bimodal fittings should expect benefit from all three different binaural advantages found be present in normal-hearing listeners. Head-shadow squelch are occurring under spatially separated speech noise, while summation emerges when noise coincide space. For 14 or listeners, reception thresholds the presence four-talker babble were measured sound-field various configurations. Statistical analysis revealed significant head-shadow...

Abstract Cochlear implants (CIs) do not offer the same level of effectiveness in noisy environments as quiet settings. Current single-microphone noise reduction algorithms hearing aids and CIs only remove predictable, stationary noise, are ineffective against realistic, non-stationary such multi-talker interference. Recent developments deep neural network (DNN) have achieved noteworthy performance speech enhancement separation, especially removing noise. However, more work is needed to...

The purpose of this study is to determine the relative impact reverberant self-masking and overlap-masking effects on speech intelligibility by cochlear implant listeners. Sentences were presented in two conditions wherein consonant segments replaced with clean consonants, another condition vowel vowels. underlying assumption that would dominate first condition, whereas second condition. Results indicated degradation caused primarily give rise flattened formant transitions.

This paper addresses the blind separation of convolutive and temporally correlated mixtures speech, through use a multichannel deconvolution (MBD) method. In proposed framework (LP-NGA), spatio-temporal is carried out by entropy maximization using well-known natural gradient algorithm (NGA), while temporal pre-whitening stage, based on linear prediction (LP), manages to fully preserve original spectral characteristics each source contribution. Confronted with synthetic mixtures, we show that...

Bilateral cochlear implants seek to restore the advantages of binaural hearing by improving access cues. implant users are currently fitted with two processors, one in each ear, operating independent another. In this work, a different approach bilateral processing is explored based on blind source separation (BSS) utilizing driven single processor. Sentences corrupted interfering speech or speech-shaped noise presented at 0dB signal-to-noise ratio order evaluate performance proposed BSS...

Bilateral cochlear implant (BI-CI) recipients achieve high word recognition scores in quiet listening conditions. Still, there is a substantial drop speech performance when reverberation and more than one interferers. BI-CI users utilize information from just two directional microphones placed on opposite sides of the head so-called independent stimulation mode. To enhance ability to communicate noise, use computationally inexpensive multi-microphone adaptive noise reduction strategies...

In this paper, we evaluate the performance of existing and new objective measures in terms predicting quality reverberant speech enhanced by dereverberation algorithms. We use subjective ratings designed to along three dimensions: coloration, reverberation tail effect overall quality. Experimental results assess correlations between proposed rating scales suggest that PESQ-based can very reliably predict dereverberated speech.

Objective To investigate a set of acoustic features and classification methods for the three groups fricative consonants differing in place articulation. Method A support vector machine (SVM) algorithm was used to classify fricatives extracted from TIMIT database quiet also speech babble noise at various signal-to-noise ratios (SNRs). Spectral including four spectral moments, peak, slope, Mel-frequency cepstral coefficients (MFCC), Gammatone filters outputs, magnitudes fast Fourier Transform...

This paper describes a highly practical blind signal separation (BSS) scheme operating on subband domain data to blindly segregate convolutive mixtures of speech. The proposed method relies spatiotemporal carried out in the time by using multichannel deconvolution (MBD) algorithm that enforces entropy maximization through popular natural gradient (NGA). Numerical experiments with binaural impulse responses affirm validity and illustrate appeal presented technique even for difficult speech setups.

Several studies demonstrate that in complex auditory scenes, speech recognition is improved when the competing background and target differ linguistically. However, such typically utilize spatially co-located sources which may not fully capture typical listening conditions. Furthermore, presentation overestimate observed benefit of linguistic dissimilarity. The current study examines effect spatial separation on release from masking. Results masking does extend to separated sources. overall...

In this letter, we propose a novel approach for two-microphone enhancement of speech corrupted by reverberation. Our steers computational resources to filter coefficients having the largest impact on error surface and therefore only updates subset in every iteration. Experimental results carried out realistic reverberant setup indicate that performance proposed algorithm is comparable its full-update counterpart.

The purpose of this study was to evaluate the contribution a contralateral hearing aid perception consonants, in terms voicing, manner, and place-of-articulation cues reverberation noise by adult cochlear implantees aided bimodal fittings.Eight postlingually deafened implant (CI) listeners with fully inserted CI 1 ear low-frequency other were tested on consonant perception. They presented stimuli processed following experimental conditions: quiet condition, 2 different times (0.3 s 1.0 s),...

With human-computer interactions and hands-free communications becoming overwhelmingly important in the new millennium, recent research efforts have been increasingly focusing on state-of-the-art mult

In speech-in-speech recognition, listeners' performance improves when spatial and linguistic properties of background target speech differ. However, it is unclear if these benefits interact or whether they persist under reverberant conditions typical indoor listening. To address issues, were tested together in the presence absence reverberation. Results demonstrate that, anechoic condition, both are obtained but do not constrain each other. Under reverberation, only benefit was obtained....

The purpose of this study was to evaluate whether listeners with normal hearing perceiving noise-vocoded speech-in-speech demonstrate better intelligibility target speech when the background mismatched in language (linguistic release from masking [LRM]) and/or location (spatial [SRM]) relative target. We also assessed spectral resolution stimuli affected presence LRM and SRM under these conditions.In Experiment 1, a mixed factorial design used simultaneously manipulate masker...

The smearing effects of room reverberation can significantly impair the ability cochlear implant (CI) listeners to understand speech. To ameliorate reverberation, current dereverberation algorithms focus on recovering direct sound from reverberated signal by inverse filtering process. This contribution describes and evaluates a spectral subtraction (SS) strategy capable suppressing late reflections. Late reflections are most detrimental speech intelligibility CI as increases. By tackling...