{"doi":"10.61782/fa.2025.0149","title":"Assessing Speech Processing HA/CI Advancements for Naturalistic Field Testing: Advancements with the CCi-MOBILE Research Platform","abstract":"Advancements for hearing assistive technologies for hearing aids (HA) and cochlear implants (CI) have advanced significantly in the past two decades, with new emerging machine learning (ML) approaches used in speech technology applications (e.g., speech enhancement, recognition, diarization, etc.).However, advanced computing resources and real-time operational needs can limit realizing viable solutions in real-world settings for CI/HA based processors.In this study, we present a highlevel overview of the design, development, clinical evaluation, and applications of the CCi-MOBILE [1], a powerful signal processing platform built for researchers in the CI/HA hearing impaired field.We consider a range of past and current speech enhancement methods proposed for front-end noise and reverberation suppression, and address trade-offs for real-world naturalistic field testing for CI/HA scenarios.Here, recent work on Bilateral and BiModal based processing for HA/CI systems is explored.Experimental needs for extended day-long field testing with CCi-MOBILE research platform is also considered.This effort aims to create new research opportunities for scientists and researchers to investigate viable real-world human subject testing of emerging speech enhancement solutions that leverage ML concepts in complex acoustic scenarios.","journal":null,"year":2025,"id":587125,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9583,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1144798,"name":"Juliana N. Saba","orcid":null,"position":1,"is_corresponding":false},{"id":1502729,"name":"Hazem A.F. Younis","orcid":null,"position":2,"is_corresponding":false},{"id":1502730,"name":"Taylor Lawson","orcid":null,"position":3,"is_corresponding":false},{"id":1502731,"name":"Samuel O. Okei","orcid":null,"position":4,"is_corresponding":false},{"id":1502209,"name":"Hsin-Tien Chiang","orcid":"0009-0009-4697-4357","position":5,"is_corresponding":false},{"id":1502728,"name":"John H.L. Hansen","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:59:36.020030Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}