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From Microphone to Phoneme: An End-to-End Computational Neural Model for Predicting Speech Perception with Cochlear Implants ...
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Abstract:
Abstract— Goal: Advances in computational models of biological systems and artificial neural networks enable rapid virtual prototyping of neuroprostheses, accelerating innovation in the field. Here, we present an end-to-end computational model for predicting speech perception with cochlear implants (CI), the most widely-used neuroprosthesis. Methods: The model integrates CI signal processing, a finite element model of the electrically-stimulated cochlea, and an auditory nerve model to predict neural responses to speech stimuli. An automatic speech recognition neural network is then used to extract phoneme-level speech perception from these neural response patterns. Results: Compared to human CI listener data, the model predicts similar patterns of speech perception and misperception, captures between-phoneme differences in perceptibility, and replicates effects of stimulation parameters and noise on speech recognition. Information transmission analysis at different stages along the CI processing chain ... : HB Allen Trust charity ...
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URL: https://dx.doi.org/10.17863/cam.83435 https://www.repository.cam.ac.uk/handle/1810/336003
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The effect of increased channel interaction on speech perception with cochlear implants. ...
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The Panoramic ECAP Method: Estimating Patient-Specific Patterns of Current Spread and Neural Health in Cochlear Implant Users. ...
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Cochlear Implant Research and Development in the Twenty-first Century: A Critical Update ...
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The Panoramic ECAP Method: Estimating Patient-Specific Patterns of Current Spread and Neural Health in Cochlear Implant Users ...
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Cochlear Implant Research and Development in the Twenty-first Century: A Critical Update. ...
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The effect of increased channel interaction on speech perception with cochlear implants ...
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The Panoramic ECAP Method: Estimating Patient-Specific Patterns of Current Spread and Neural Health in Cochlear Implant Users
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Cochlear Implant Research and Development in the Twenty-first Century: A Critical Update.
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The effect of increased channel interaction on speech perception with cochlear implants.
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The effect of increased channel interaction on speech perception with cochlear implants
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Cochlear Implant Research and Development in the Twenty-first Century: A Critical Update
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Using Spectral Blurring to Assess Effects of Channel Interaction on Speech-in-Noise Perception with Cochlear Implants
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The effect of increased channel interaction on speech perception with cochlear implants
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In: Sci Rep (2021)
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Using Spectral Blurring to Assess Effects of Channel Interaction on Speech-in-Noise Perception with Cochlear Implants. ...
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Using Spectral Blurring to Assess Effects of Channel Interaction on Speech-in-Noise Perception with Cochlear Implants ...
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The effect of a coding strategy that removes temporally masked pulses on speech perception by cochlear implant users. ...
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Using Spectral Blurring to Assess Effects of Channel Interaction on Speech-in-Noise Perception with Cochlear Implants ...
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The Effect of Free-Field Presentation and Processing Strategy on a Measure of Spectro-Temporal Processing by Cochlear-Implant Listeners. ...
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Using Spectral Blurring to Assess Effects of Channel Interaction on Speech-in-Noise Perception with Cochlear Implants
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