Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
<p dir="ltr">Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for individuals with partial or profound hearing impairments. The process involves receiving the sp...
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2024
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| _version_ | 1864513541447352320 |
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| author | Billel Essaid (22047578) |
| author2 | Hamza Kheddar (17337712) Noureddine Batel (22047581) Muhammad E. H. Chowdhury (14150526) Abderrahmane Lakas (22047584) |
| author2_role | author author author author |
| author_facet | Billel Essaid (22047578) Hamza Kheddar (17337712) Noureddine Batel (22047581) Muhammad E. H. Chowdhury (14150526) Abderrahmane Lakas (22047584) |
| author_role | author |
| dc.creator.none.fl_str_mv | Billel Essaid (22047578) Hamza Kheddar (17337712) Noureddine Batel (22047581) Muhammad E. H. Chowdhury (14150526) Abderrahmane Lakas (22047584) |
| dc.date.none.fl_str_mv | 2024-09-04T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3429524 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Artificial_Intelligence_for_Cochlear_Implants_Review_of_Strategies_Challenges_and_Perspectives/29900510 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Biomedical engineering Health sciences Health services and systems Information and computing sciences Artificial intelligence Automatic speech recognition cochlear implant deep learning profound hearing loss speech enhancement machine learning Auditory system Speech recognition Medical services Cochlear implants Signal processing algorithms Deafness |
| dc.title.none.fl_str_mv | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for individuals with partial or profound hearing impairments. The process involves receiving the speech signal in analog form, followed by various signal processing algorithms to make it compatible with devices of limited capacities, such as cochlear implants (CIs). Unfortunately, these implants, equipped with a finite number of electrodes, often result in speech distortion during synthesis. Despite efforts by researchers to enhance received speech quality using various state-of-the-art signal processing techniques, challenges persist, especially in scenarios involving multiple sources of speech, environmental noise, and other adverse conditions. The advent of new artificial intelligence (AI) methods has ushered in cutting-edge strategies to address the limitations and difficulties associated with traditional signal processing techniques dedicated to CIs. This review aims to comprehensively cover advancements in CI-based ASR and speech enhancement, among other related aspects. The primary objective is to provide a thorough overview of metrics and datasets, exploring the capabilities of AI algorithms in this biomedical field, and summarizing and commenting on the best results obtained. Additionally, the review will delve into potential applications and suggest future directions to bridge existing research gaps in this domain.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3429524" target="_blank">https://dx.doi.org/10.1109/access.2024.3429524</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_96a4b51b02eb50fbf0ba2a85c4ecafb9 |
| identifier_str_mv | 10.1109/access.2024.3429524 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29900510 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and PerspectivesBillel Essaid (22047578)Hamza Kheddar (17337712)Noureddine Batel (22047581)Muhammad E. H. Chowdhury (14150526)Abderrahmane Lakas (22047584)EngineeringBiomedical engineeringHealth sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceAutomatic speech recognitioncochlear implantdeep learningprofound hearing lossspeech enhancementmachine learningAuditory systemSpeech recognitionMedical servicesCochlear implantsSignal processing algorithmsDeafness<p dir="ltr">Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for individuals with partial or profound hearing impairments. The process involves receiving the speech signal in analog form, followed by various signal processing algorithms to make it compatible with devices of limited capacities, such as cochlear implants (CIs). Unfortunately, these implants, equipped with a finite number of electrodes, often result in speech distortion during synthesis. Despite efforts by researchers to enhance received speech quality using various state-of-the-art signal processing techniques, challenges persist, especially in scenarios involving multiple sources of speech, environmental noise, and other adverse conditions. The advent of new artificial intelligence (AI) methods has ushered in cutting-edge strategies to address the limitations and difficulties associated with traditional signal processing techniques dedicated to CIs. This review aims to comprehensively cover advancements in CI-based ASR and speech enhancement, among other related aspects. The primary objective is to provide a thorough overview of metrics and datasets, exploring the capabilities of AI algorithms in this biomedical field, and summarizing and commenting on the best results obtained. Additionally, the review will delve into potential applications and suggest future directions to bridge existing research gaps in this domain.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3429524" target="_blank">https://dx.doi.org/10.1109/access.2024.3429524</a></p>2024-09-04T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3429524https://figshare.com/articles/journal_contribution/Artificial_Intelligence_for_Cochlear_Implants_Review_of_Strategies_Challenges_and_Perspectives/29900510CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299005102024-09-04T06:00:00Z |
| spellingShingle | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives Billel Essaid (22047578) Engineering Biomedical engineering Health sciences Health services and systems Information and computing sciences Artificial intelligence Automatic speech recognition cochlear implant deep learning profound hearing loss speech enhancement machine learning Auditory system Speech recognition Medical services Cochlear implants Signal processing algorithms Deafness |
| status_str | publishedVersion |
| title | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives |
| title_full | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives |
| title_fullStr | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives |
| title_full_unstemmed | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives |
| title_short | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives |
| title_sort | Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives |
| topic | Engineering Biomedical engineering Health sciences Health services and systems Information and computing sciences Artificial intelligence Automatic speech recognition cochlear implant deep learning profound hearing loss speech enhancement machine learning Auditory system Speech recognition Medical services Cochlear implants Signal processing algorithms Deafness |