Predicting the effect of AGC on speech intelligibility of cochlear implant recipients in noise

Khing, Phyu P.; Ambikairajah, Eliathamby; Swanson, Brett A.

doi:10.1109/icassp.2013.6639235

Cited by 5 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two additional descriptive objective measures of the electrodograms, generated with the experimental framework by Oticon Medical, were analyzed for all SNRs: (1) the SNR output ( italicSNRitalicOUT) similar to Nogueira et al. (2016) and Khing et al. (2013a) from the averaged RMS power of the electrodogram obtained for the speech signal alone divided by the RMS power for the noise signal (cafeteria noise used for the speech intelligibility task) alone: with ESnormal and EN being the electrodograms for the speech and the noise, t the time, and C the electrode in the electrodogram.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of an Adaptive Dynamic Compensation System in Cochlear Implant Listeners

2020

View full text Add to dashboard Cite

Cochlear implant (CI) sound processing typically uses a front-end automatic gain control (AGC), reducing the acoustic dynamic range (DR) to control the output level and protect the signal processing against large amplitude changes. It can also introduce distortions into the signal and does not allow a direct mapping between acoustic input and electric output. For speech in noise, a reduction in DR can result in lower speech intelligibility due to compressed modulations of speech. This study proposes to implement a CI signal processing scheme consisting of a full acoustic DR with adaptive properties to improve the signal-to-noise ratio and overall speech intelligibility. Measurements based on the Short-Time Objective Intelligibility measure and an electrodogram analysis, as well as behavioral tests in up to 10 CI users, were used to compare performance with a single-channel, dual-loop, front-end AGC and with an adaptive back-end multiband dynamic compensation system (Voice Guard [VG]). Speech intelligibility in quiet and at a +10 dB signal-to-noise ratio was assessed with the Hochmair–Schulz–Moser sentence test. A logatome discrimination task with different consonants was performed in quiet. Speech intelligibility was significantly higher in quiet for VG than for AGC, but intelligibility was similar in noise. Participants obtained significantly better scores with VG than AGC in the logatome discrimination task. The objective measurements predicted significantly better performance estimates for VG. Overall, a dynamic compensation system can outperform a single-stage compression (AGC + linear compression) for speech perception in quiet.

show abstract

Section: Resultsmentioning

confidence: 99%

Evaluation of an Adaptive Dynamic Compensation System in Cochlear Implant Listeners

2020

View full text Add to dashboard Cite

show abstract

“…The third goodness of fit figure of merit, statistical deviance (D), was taken from a study by Khing et al (2013). 1…”

Section: Study 1 – Evaluation Of the Accuracy Of Osnr As A Prediction...mentioning

confidence: 99%

“…An example of the mapping goodness of fit of the psychometric function to the clinical scores for one study (Data set 3) 1 is shown in Figure 1. Mean speech scores for two different AGC types, and two SNRs, as the presentation level was varied are shown.…”

Section: Study 1 – Evaluation Of the Accuracy Of Osnr As A Prediction...mentioning

confidence: 99%

“…This means that OSNR cannot be determined by simply passing speech and noise separately through the sound processor and comparing their processed values. Building on earlier work by Khing et al, 1 a technique was developed where the combined speech and noise were passed through the CI sound processor, and the time varying gains of the system captured. The captured gains were then applied to the separate speech and noise signals, to generate the Output Speech, and Output Noise signals.…”

Section: Personal Historymentioning

confidence: 99%

See 1 more Smart Citation

Predicting Speech Intelligibility for Individual Cochlear Implant Recipients

Watkins¹

2022

The Hearing Journal

View full text Add to dashboard Cite

An Evaluation of Output Signal to Noise Ratio as a Predictor of Cochlear Implant Speech Intelligibility

2018

View full text Add to dashboard Cite

The study results supported the hypotheses. OSNR was found to have an accuracy equivalent to or better than ISNR, STOI, and VSTOI for tests conducted at a fixed presentation level and variable ISNR. OSNR was a more accurate metric than VSTOI for tests with fixed ISNRs and variable presentation levels. Overall, OSNR was the most accurate metric across the three data sets. OSNR holds promise as a prediction metric which could potentially improve the effectiveness of sound processor research and CI fitting.

show abstract

Predicting the effect of AGC on speech intelligibility of cochlear implant recipients in noise

Cited by 5 publications

References 19 publications

Evaluation of an Adaptive Dynamic Compensation System in Cochlear Implant Listeners

Evaluation of an Adaptive Dynamic Compensation System in Cochlear Implant Listeners

Predicting Speech Intelligibility for Individual Cochlear Implant Recipients

An Evaluation of Output Signal to Noise Ratio as a Predictor of Cochlear Implant Speech Intelligibility

Contact Info

Product

Resources

About