Combined Effects of Noise and Reverberation on Speech Recognition Performance of Normal-Hearing Children and Adults

Neuman, Arlene C.; Wróblewski, Marcin; Hajicek, Joshua J.; Rubinstein, Adrienne

doi:10.1097/aud.0b013e3181d3d514

Cited by 180 publications

(183 citation statements)

References 20 publications

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“…The reverberant stimuli were generated by convolving recorded room impulse responses (RIR) obtained experimentally in three different rooms. For reverberation time (RT) values of 0.3 s, 0.6 s and 0.8 s, RIRs were obtained on a rectangular reverberant room (length 10.06 m, width 6.65 m, height 3.4 m) which had its reverberation characteristics varied by hanging absorptive panels on the walls [16]. For RT = 1.0 s, a RIR obtained on a 5.5 m ⇥ 4.5 m ⇥ 3.1 m room was used [17].…”

Section: Speech Intelligibility Databasementioning

confidence: 99%

An improved non-intrusive intelligibility metric for noisy and reverberant speech

Santos

Senoussaoui

Falk

2014

2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC)

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Non-intrusive speech intelligibility metrics are based solely on the corrupted speech information and a prior model of the speech signal in a given representation. As such, any sources of variability not taken into account by the model will affect the metric's performance. In this paper, we investigate two sources of variability in the auditory-inspired model used by the speech-to-reverberation modulation energy ratio (SRMR) metric, namely speech content and pitch, and propose two updates that aim to reduce the variability caused by these sources. First, we limited the dynamic range of the energies in the modulation spectrum bands in order to reduce the effect of speech content and speaker variability. Second, the range of the modulation filter bank was modified to reduce the variability due to pitch. Experimental results show that the updated metric presents higher performance and lower variability relative to the original SRMR when assessing speech intelligibility in noisy and reverberant environments, as well as outperforms several standard intrusive and non-intrusive benchmark metrics.

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Section: Speech Intelligibility Databasementioning

confidence: 99%

An improved non-intrusive intelligibility metric for noisy and reverberant speech

Santos

Senoussaoui

Falk

2014

2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC)

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“…The reverberant stimuli are generated by convolving the clean signals with real RIRs recorded in a 10.06 m Â 6.65 m Â 3.4 m (length Â width Â height) room (Neuman et al, 2010). The reverberation time of the room is varied from 0.8 to 0.6, and 0.3 s by adding absorptive panels to the walls and floor carpeting.…”

Section: Simulated Reverberant Conditionsmentioning

confidence: 99%

Blind binary masking for reverberation suppression in cochlear implants

Hazrati

Lee

Loizou

2013

The Journal of the Acoustical Society of America

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A monaural binary time-frequency (T-F) masking technique is proposed for suppressing reverberation. The mask is estimated for each T-F unit by extracting a variance-based feature from the reverberant signal and comparing it against an adaptive threshold. Performance of the estimated binary mask is evaluated in three moderate to relatively high reverberant conditions (T 60 ¼ 0.3, 0.6, and 0.8 s) using intelligibility listening tests with cochlear implant users. Results indicate that the proposed T-F masking technique yields significant improvements in intelligibility of reverberant speech even in relatively high reverberant conditions (T 60 ¼ 0.8 s). The improvement is hypothesized to result from the recovery of the vowel/consonant boundaries, which are severely smeared in reverberation.

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“…The primary goal of a speech intelligibility test is generally to measure the speech-reception threshold (SRT / ), i.e., the SNR at which a particular fraction, /, of words are correctly identified (Plomp and Mimpen, 1979;Wilson et al, 2007). It is also, however, often important to measure the slope of the PF at the SRT (MacPherson and Akeroyd, 2014;Neuman et al, 2010) and it is this that determines the perceptual benefit that can be obtained by improving the SNR. This paper presents an adaptive procedure for measuring both the SRT and the slope of the PF.…”

Section: Introductionmentioning

confidence: 99%

Robust and efficient Bayesian adaptive psychometric function estimation

Doire

Brookes

Naylor

2017

The Journal of the Acoustical Society of America

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The efficient measurement of the threshold and slope of the psychometric function (PF) is an important objective in psychoacoustics. This paper proposes a procedure that combines a Bayesian estimate of the PF with either a look one-ahead or a look two-ahead method of selecting the next stimulus presentation. The procedure differs from previously proposed algorithms in two respects: (i) it does not require the range of possible PF parameters to be specified in advance and (ii) the sequence of probe signal-to-noise ratios optimizes the threshold and slope estimates at a performance level, ϕ, that can be chosen by the experimenter. Simulation results show that the proposed procedure is robust and that the estimates of both threshold and slope have a consistently low bias. Over a wide range of listener PF parameters, the root-mean-square errors after 50 trials were ∼1.2 dB in threshold and 0.14 in log-slope. It was found that the performance differences between the look one-ahead and look two-ahead methods were negligible and that an entropy-based criterion for selecting the next stimulus was preferred to a variance-based criterion

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Combined Effects of Noise and Reverberation on Speech Recognition Performance of Normal-Hearing Children and Adults

Cited by 180 publications

References 20 publications

An improved non-intrusive intelligibility metric for noisy and reverberant speech

An improved non-intrusive intelligibility metric for noisy and reverberant speech

Blind binary masking for reverberation suppression in cochlear implants

Robust and efficient Bayesian adaptive psychometric function estimation

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