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Research ArticleResearch Article: Confirmation, Cognition and Behavior

The Impact of Spectral and Temporal Degradation on Vocoded Speech Recognition in Early-Blind Individuals

Hyo Jung Choi, Jeong-Sug Kyong, Jae Hee Lee, Seung Ho Han and Hyun Joon Shim
eNeuro 29 May 2024, 11 (5) ENEURO.0528-23.2024; https://doi.org/10.1523/ENEURO.0528-23.2024
Hyo Jung Choi
1Department of Otorhinolaryngology-Head and Neck Surgery, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul 01830, Republic of Korea
2Eulji Tinnitus and Hearing Research Institute, Nowon Eulji Medical Center, Seoul 01830, Republic of Korea
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Jeong-Sug Kyong
3Sensory Organ Institute, Medical Research Institute, Seoul National University, Seoul 03080, Republic of Korea
4Department of Radiology, Konkuk University Medical Center, Seoul 05030, Republic of Korea
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Jae Hee Lee
5Department of Audiology and Speech-Language Pathology, Hallym University of Graduate Studies, Seoul 06197, Republic of Korea
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Seung Ho Han
6Department of Physiology and Biophysics, School of Medicine, Eulji University, Daejeon 34824, Republic of Korea
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Hyun Joon Shim
1Department of Otorhinolaryngology-Head and Neck Surgery, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul 01830, Republic of Korea
2Eulji Tinnitus and Hearing Research Institute, Nowon Eulji Medical Center, Seoul 01830, Republic of Korea
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  • ORCID record for Hyun Joon Shim
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Figures

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  • Figure 1.
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    Figure 1.

    An illustration depicting the generation of the noise-vocoded signal. The input signals were bandpass filtered into 4 (BPF1), 8 (BPF2), 16 (BPH3), and 32 (BPF4) channel bands prior to Hilbert transformation. After separating the envelopes from the temporal fine structures, the vocoder speech signal was generated by adding a noise carrier to the envelopes.

  • Figure 2.
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    Figure 2.

    Spectrograms for the number of channels (4, 8, 16, and 32) at cutoff frequencies of 50 or 500 Hz. With fewer channel bands and a lower cutoff frequency, the speech becomes more spectrally degraded and difficult to understand.

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    Figure 3.

    Sample waveforms averaged from the corresponding electrodes for N2 and P3b. For N2, it represents the average values obtained from Fz, FC1, FC2, and Cz channels. For P3b, it represents the average values obtained from CP1, CP2, P3, Pz, and P4 channels.

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    Figure 4.

    Digit span test. The correct score was higher in the early-blind group than in the sighted group in the forward (p < 0.001) and backward (p = 0.004) conditions.

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    Figure 5.

    Monosyllable word recognition in noise. The early-blind subjects demonstrated better recognition compared with the sighted subjects in all SNR conditions (all p < 0.01).

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    Figure 6.

    Sentence recognition in noise. The speech recognition threshold was significantly lower in the early-blind group compared with the sighted group for the SSN test (p = 0.002) and the ISTS noise test (p < 0.001).

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    Figure 7.

    Vocoded speech recognition under envelope cutoff frequencies of 50 Hz (left panel) and 500 Hz (right panel). The early-blind group showed better recognition compared with the sighted group (p < 0.001). Group showed an interaction with channels (p = 0.007) but not with the envelope cutoff frequency (p = 0.057).

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    Figure 8.

    N2 latency and amplitude. The early-blind group showed a shorter latency in the 8-channel test (p = 0.022) and the 16-channel test (p = 0.049) and a greater amplitude in the 8-channel test (p = 0.034) compared with the sighted group (Bonferroni-corrected p < 0.05).

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    Figure 9.

    P3b latency and amplitude. The early-blind group tended to show a greater amplitude in the 8-channel test compared with the sighted group (p = 0.067; Bonferroni-corrected p < 0.05).

Tables

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    Table 1.

    Clinical characteristics for the early-blind subjects

    SubjectAge (years)OnsetSexVisual acuityCause of blindness
    B0132BirthFLight perceptionRetinopathy of prematurity
    B0225BirthMNo light perceptionOptic atrophy
    B0328BirthFLight perceptionOptic atrophy
    B0422BirthFNo light perceptionRetinopathy of prematurity
    B0527BirthMLight perceptionMicrophthalmos
    B0639BirthMLight perceptionOptic atrophy
    B0732BirthMNo light perceptionPersistent hyperplastic primary vitreous
    B0822BirthFNo light perceptionRetinopathy of prematurity
    B0928BirthMNo light perceptionRetinopathy of prematurity
    B1039BirthFNo light perceptionCataract
    B1134BirthFLight perceptionRetinoblastoma
    B1228BirthMNo light perceptionRetinopathy of prematurity
    B1329BirthFNo light perceptionRetinopathy of prematurity
    B1426BirthMNo light perceptionCorneal opacity
    B1530BirthFNo light perceptionRetinopathy of prematurity
    B1634BirthMLight perceptionRetinopathy of prematurity
    B1735BirthMLight perceptionCause unknown
    B1831BirthMLight perceptionCause unknown
    B1936BirthFLight perceptionRetinopathy of prematurity
    B2034BirthMNO light perceptionMeningitis
    B2137BirthFNO light perceptionOptic atrophy
    B2225BirthMNO light perceptionCause unknown
    B2327BirthMNO light perceptionRetinopathy of prematurity
    B2432BirthMLight perceptionCause unknown
    B2526BirthMLight perceptionXanthochromism
    • View popup
    Table 2.

    ANOVA table of monosyllable word in noise

    Sum of squaredfMean squareFpηG2
    SNR4,695.304.001,173.83456.52<0.0010.905
    Group300.3041300.30446.511<0.0010.492
    SNR*Group19.81644.9541.9270.1080.39
    Residual493.68192.002.57
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    Table 3.

    ANOVA table of vocoded speech recognition

    Sum of squaredfMean squareFpηG2
    Channels11,986.853.003,995.62873.45<0.0010.905
    Envelop453.6901.000453.690256.051<0.0010.842
    Group345.9601345.96020.604<0.0010.300
    Channels*Group57.4203.0019.1404.1840.0070.080
    Channels*Envelop74.090324.69716.641<0.0010.257
    Envelop*Group6.7601.0006.7603.8150.0570.074
    En*Ch*Gr11.70033.9002.68280.0530.052
    Residual (channels)658.73144.004.57
    Residual (envelop)85.05048.0001.772
    Residual (channels*envelope)213.7101441.484
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The Impact of Spectral and Temporal Degradation on Vocoded Speech Recognition in Early-Blind Individuals
Hyo Jung Choi, Jeong-Sug Kyong, Jae Hee Lee, Seung Ho Han, Hyun Joon Shim
eNeuro 29 May 2024, 11 (5) ENEURO.0528-23.2024; DOI: 10.1523/ENEURO.0528-23.2024

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The Impact of Spectral and Temporal Degradation on Vocoded Speech Recognition in Early-Blind Individuals
Hyo Jung Choi, Jeong-Sug Kyong, Jae Hee Lee, Seung Ho Han, Hyun Joon Shim
eNeuro 29 May 2024, 11 (5) ENEURO.0528-23.2024; DOI: 10.1523/ENEURO.0528-23.2024
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Keywords

  • electroencephalogram
  • spectral degradation
  • speech recognition
  • temporal degradation
  • visual deprivation
  • vocoder

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