Pulsatile Gaussian-Enveloped Tones (GET) for cochlear-implant simulation

Meng, Qinglin; Zhou, Huali; Lu, Tianlan; Zeng, Fan‐Gang

doi:10.1016/j.apacoust.2023.109386

Cited by 1 publication

(6 citation statements)

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“…We have argued that faithfully replicating the signal processing stages in a CI strategy is critical for a good simulation of CI. The GET vocoder [21] meets this requirement. In this study, we proposed a new variant of GET, i.e., the GEN vocoder.…”

Section: B Gaussian-enveloped Tone/noise Vocodersmentioning

confidence: 99%

“…We developed an advanced simulator, i.e., the GET vocoder in [21], and proposed a variant Gaussian-enveloped Noise (GEN) in current work. The idea is to transform the pulsatile CI electric stimuli directly into an acoustic sound in a pulseto-pulse manner.…”

Section: Related Workmentioning

confidence: 99%

“…Technically, GET/GEN vocoded sound could maintain the same information as a CI strategy, as they use the same process to encode the original sound. To learn more about the connection or difference between GET and other related vocoders, please see [21] for an in-depth introduction. In the preliminary studies [21], [22], the theoretical analysis based on the time-frequency uncertainty principle was done 1 and the advantage of GET on a single SRT test has also been verified.…”

Section: Related Workmentioning

confidence: 99%

“…There is a compromise between the temporal duration of a signal and its frequency content. This limits the effectiveness of GET/GEN in simulating electric pulses with microsecond widths in CI [21].…”

Section: Related Workmentioning

confidence: 99%

“…The framework of the recently proposed GET vocoder adheres to this critical principle in its approach to simulation. It could derive similar means and variances in SRTs in noise with a sentence corpus as actual CIs [21], [22]. In this work, we designed a GET variant (i.e., GEN) and developed a systematic test battery to validate the GET/GEN model.…”

Section: Model Validation a Overviewmentioning

confidence: 99%

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Comparable Encoding, Comparable Perceptual Pattern: Acoustic and Electric Hearing

Kong

Zhou

et al. 2023

IEEE Trans. Neural Syst. Rehabil. Eng.

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Perception with electric neuroprostheses is sometimes expected to be simulated using properly designed physical stimuli. Here, we examined a new acoustic vocoder model for electric hearing with cochlear implants (CIs) and hypothesized that comparable speech encoding can lead to comparable perceptual patterns for CI and normal hearing (NH) listeners. Speech signals were encoded using FFT-based signal processing stages including band-pass filtering, temporal envelope extraction, maxima selection, and amplitude compression and quantization. These stages were specifically implemented in the same manner by an Advanced Combination Encoder (ACE) strategy in CI processors and Gaussian-enveloped Tones (GET) or Noise (GEN) vocoders for NH. Adaptive speech reception thresholds (SRTs) in noise were measured using four Mandarin sentence corpora. Initial consonant (11 monosyllables) and final vowel (20 monosyllables) recognition were also measured. NaÏve NH listeners were tested using vocoded speech with the proposed GET/GEN vocoders as well as conventional vocoders (controls).Experienced CI listeners were tested using their daily-used processors. Results showed that: 1) there was a significant training effect on GET vocoded speech perception; 2) the GEN vocoded scores (SRTs with four corpora and consonant and vowel recognition scores) as well as the phoneme-level confusion pattern matched with the CI scores better than controls. The findings suggest that the same signal encoding implementations may lead to similar perceptual patterns simultaneously in multiple perception Manuscript

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Section: B Gaussian-enveloped Tone/noise Vocodersmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%