A Single-Processor Approach to Speech Processing Pipeline of Bilateral Cochlear Implants
Taher Shahbazi Mirzahasanloo

TL;DR
This paper presents a single-processor speech processing pipeline for bilateral cochlear implants that overcomes synchronization issues, enhances speech in noisy environments, and is adaptable to individual users and other binaural devices.
Contribution
It introduces a novel single-processor approach for bilateral CIs that ensures synchronization, reduces computational load, and incorporates environment- and user-specific optimization.
Findings
Effective in six noise environments
Outperforms two-processor and sequential processing methods
Provides binaural cues and directionality
Abstract
This dissertation covers a single-processor approach to the speech processing pipeline of bilateral Cochlear Implants (CIs). The use of only a single processor to provide binaural stimulation signals overcomes the synchronization problem, which is an existing challenging problem in the deployment of bilateral CI devices. The developed single-processor speech processing pipeline provides CI users with a sense of directionality. Its non-synchronization feature as well as low computational and memory requirements make it a suitable solution for actual deployment. A speech enhancement framework is developed that incorporates different non-Euclidean speech distortion criteria and different noise environments. This framework not only allows the design of environment-optimized parameters but also enables a user-specific solution where the anthropometric measurements of an individual user are…
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Taxonomy
TopicsSpeech and Audio Processing · Hearing Loss and Rehabilitation · Advanced Adaptive Filtering Techniques
