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{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D034381', 'term': 'Hearing Loss'}], 'ancestors': [{'id': 'D006311', 'term': 'Hearing Disorders'}, {'id': 'D004427', 'term': 'Ear Diseases'}, {'id': 'D010038', 'term': 'Otorhinolaryngologic Diseases'}, {'id': 'D012678', 'term': 'Sensation Disorders'}, {'id': 'D009461', 'term': 'Neurologic Manifestations'}, {'id': 'D009422', 'term': 'Nervous System Diseases'}, {'id': 'D012816', 'term': 'Signs and Symptoms'}, {'id': 'D013568', 'term': 'Pathological Conditions, Signs and Symptoms'}]}}, 'protocolSection': {'designModule': {'phases': ['EARLY_PHASE1'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'NA', 'maskingInfo': {'masking': 'NONE'}, 'primaryPurpose': 'BASIC_SCIENCE', 'interventionModel': 'SINGLE_GROUP'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 100}}, 'statusModule': {'overallStatus': 'UNKNOWN', 'lastKnownStatus': 'RECRUITING', 'startDateStruct': {'date': '2020-04-25', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2022-07', 'completionDateStruct': {'date': '2023-03-31', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2022-07-11', 'studyFirstSubmitDate': '2021-02-25', 'studyFirstSubmitQcDate': '2021-02-25', 'lastUpdatePostDateStruct': {'date': '2022-07-12', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2021-03-02', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2023-03-31', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Speech Recognition', 'timeFrame': '1 day', 'description': 'The % of words correctly understood in various noisy situations will be measured'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Hearing Loss']}, 'descriptionModule': {'briefSummary': 'When hearing-impaired listeners are properly aided with a hearing aid (HA) or cochlear implant (CI), they are often able to comfortably maintain a conversation in quiet environments. However, in group environments, such as a large family dinner, restaurant, or other environment where multiple people are talking simultaneously, hearing-impaired listeners have great difficulty participating in conversations and frequently withdraw or avoid the situation. As such, it would be highly beneficial to implement an algorithm into HAs or CIs to remove background talkers ("babble") from the signal to reduce listening effort for the hearing-impaired listener and allow them to converse as if they were in a quiet environment. Although HAs and CIs frequently incorporate noise reduction algorithms, these algorithms are not effective when the background is babble. The problem of removing babble involves segregating speech from speech. Hence, the spectral properties of the signal and noise are extremely similar.\n\nDespite these challenges, we developed an algorithm to remove background babble. In the following study will test the ability of cochlear implant users to understand speech with background babble noise using our noise reduction algorithm or no noise reduction algorithm. We hypothesize that CI users will be able to understand significantly more speech in babble noise when using our algorithm.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['CHILD', 'ADULT', 'OLDER_ADULT'], 'minimumAge': '12 Years', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\nSubjects with CIs 12 years of age and older with no diagnosis of other communicative or cognitive disorders. Subjects must have native or native-like English proficiency.\n\nExclusion Criteria:\n\nNo diagnosed cognitive or communicative disorders (other than hearing loss), presence of acute/chronic otitis media, useable acoustic hearing, and non-English speaking.'}, 'identificationModule': {'nctId': 'NCT04777669', 'briefTitle': 'Removing Background Talker Noise for Cochlear Implant Users', 'organization': {'class': 'INDUSTRY', 'fullName': 'York Sound Inc'}, 'officialTitle': 'Removing Background Talker Noise for Cochlear Implant Users', 'orgStudyIdInfo': {'id': 'SBIR01'}}, 'armsInterventionsModule': {'armGroups': [{'type': 'EXPERIMENTAL', 'label': 'Experiment', 'description': 'Subjects will be tested for their ability to understand speech with and without noise reduction', 'interventionNames': ['Other: Noise Reduction']}], 'interventions': [{'name': 'Noise Reduction', 'type': 'OTHER', 'description': 'In within subject design, listeners will have background noise removed by a noise reduction algorithm', 'armGroupLabels': ['Experiment']}]}, 'contactsLocationsModule': {'locations': [{'zip': '10016', 'city': 'New York', 'state': 'New York', 'status': 'RECRUITING', 'country': 'United States', 'contacts': [{'name': 'Natalia Stupak, AuD', 'role': 'CONTACT', 'email': 'Natalia.Stupak@nyulangone.org', 'phone': '646-501-4153'}], 'facility': 'New York University School of Medicine', 'geoPoint': {'lat': 40.71427, 'lon': -74.00597}}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO', 'description': 'Data requests will be considered on a case by case basis'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'York Sound Inc', 'class': 'INDUSTRY'}, 'collaborators': [{'name': 'NYU Langone Health', 'class': 'OTHER'}], 'responsibleParty': {'type': 'SPONSOR'}}}}