Harmonizing Voices: Enhancing Speech Recognition Through Integrated Phonological Features in Bengali
This study reveals a novel avenue for advancing speech recognition accuracy by integrating phonological features. Despite remarkable progress, speech recognition systems encounter challenges with varying accents and speech patterns. This study proposes an innovative approach incorporating phonologic...
Uložené v:
| Vydané v: | 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) s. 1 - 8 |
|---|---|
| Hlavní autori: | , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
29.12.2023
|
| Predmet: | |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This study reveals a novel avenue for advancing speech recognition accuracy by integrating phonological features. Despite remarkable progress, speech recognition systems encounter challenges with varying accents and speech patterns. This study proposes an innovative approach incorporating phonological attributes like stress patterns, phoneme duration, and intonation into the recognition process. The system aims to capture intricate speech nuances essential for precise understanding by assimilating these linguistic cues. Extensive experiments conducted on diverse datasets demonstrate the efficacy of this phonology-enriched approach in enhancing recognition accuracy across different speech styles and variations. The phoneme detection model is generated on a system, prepared using deep neural network and the classification model is developed based on a stacked denoising autoencoder model. The outcomes under-score the potential of phonological integration in constructing adaptable and inclusive speech recognition systems, holding promise for improved communication technology in real-world multilingual scenarios. The proposed system produced 86.19% of overall accuracy. Classification among several places and manner of articulation has been performed also. In this classification task, the system produced 98.9% accuracy in the case of the manner of articulation and 50.2% in place of articulation. |
|---|---|
| AbstractList | This study reveals a novel avenue for advancing speech recognition accuracy by integrating phonological features. Despite remarkable progress, speech recognition systems encounter challenges with varying accents and speech patterns. This study proposes an innovative approach incorporating phonological attributes like stress patterns, phoneme duration, and intonation into the recognition process. The system aims to capture intricate speech nuances essential for precise understanding by assimilating these linguistic cues. Extensive experiments conducted on diverse datasets demonstrate the efficacy of this phonology-enriched approach in enhancing recognition accuracy across different speech styles and variations. The phoneme detection model is generated on a system, prepared using deep neural network and the classification model is developed based on a stacked denoising autoencoder model. The outcomes under-score the potential of phonological integration in constructing adaptable and inclusive speech recognition systems, holding promise for improved communication technology in real-world multilingual scenarios. The proposed system produced 86.19% of overall accuracy. Classification among several places and manner of articulation has been performed also. In this classification task, the system produced 98.9% accuracy in the case of the manner of articulation and 50.2% in place of articulation. |
| Author | Bhowmik, Tanmay Choudhury, Amitava |
| Author_xml | – sequence: 1 givenname: Tanmay surname: Bhowmik fullname: Bhowmik, Tanmay email: tanmaybhowmik@gmail.com organization: Pandit Deendayal Energy University,Dept. of Computer Engineering,Gandhinagar,Gujarat,India – sequence: 2 givenname: Amitava surname: Choudhury fullname: Choudhury, Amitava email: a.choudhury2013@gmail.com organization: Pandit Deendayal Energy University,Dept. of Computer Engineering,Gandhinagar,Gujarat,India |
| BookMark | eNo1jztPwzAYAI0EA5T-AwZPbAl-J2YrUV9SaVEbsVbG_pJYSu3KSQf49QgB00k3nHR36DrEAAg9UpJTSvTT4XW2r5fzbbXbKlJImTPCeE6JEEzw4gpNdaFLLgmnmjJ5i9zKpFMM_suHFr9Hb2F4xvPQmWB_zOEMYDu8Bxvb4EcfA667FC9th9dhhDaZERx-62KIfWy9NT1egBkvCQbsA36B0Jre36ObxvQDTP84QfViXlerbLNbrqvZJvOU6jHTtgFWUMGZsIZwaZyg3GgCruAgHGuoEtwJp6ApRGnIh1VcEShV44iWjk_Qw2_WA8DxnPzJpM_j_zv_BpiUV1U |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/SMARTGENCON60755.2023.10442437 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Xplore url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798350319125 |
| EndPage | 8 |
| ExternalDocumentID | 10442437 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i119t-9cfe2714324ca035ad413a90ed73e4d2f1643d4d6ef748a0bc6360e86fd095d3 |
| IEDL.DBID | RIE |
| IngestDate | Wed May 01 11:50:42 EDT 2024 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i119t-9cfe2714324ca035ad413a90ed73e4d2f1643d4d6ef748a0bc6360e86fd095d3 |
| PageCount | 8 |
| ParticipantIDs | ieee_primary_10442437 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-Dec.-29 |
| PublicationDateYYYYMMDD | 2023-12-29 |
| PublicationDate_xml | – month: 12 year: 2023 text: 2023-Dec.-29 day: 29 |
| PublicationDecade | 2020 |
| PublicationTitle | 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) |
| PublicationTitleAbbrev | SMART GENCON |
| PublicationYear | 2023 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.8554466 |
| Snippet | This study reveals a novel avenue for advancing speech recognition accuracy by integrating phonological features. Despite remarkable progress, speech... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 1 |
| SubjectTerms | Adaptation models Feature extraction inclusive recognition phonological features place and manner of articulation Robustness speech attributes Speech enhancement Speech recognition Stress Task analysis Usability |
| Title | Harmonizing Voices: Enhancing Speech Recognition Through Integrated Phonological Features in Bengali |
| URI | https://ieeexplore.ieee.org/document/10442437 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NSwMxEA22iHhSseI3OYi31N1NNtl4VFrrwVJskd5KNjNL95IttfXgrzfZdhUPHryFgRDI15tJZt4j5EZAmhurLYtznjMRx8hynXEmlYQCwBZc21psQg2H2XSqR9ti9boWBhHr5DPshmb9lw-VXYenMn_ChQgEei3SUkpuirX2yO2WN_Nu_OJ9wKeeD4aH0iNh2g3S4N2m0y_5lBo9-gf_HPeQdH7q8OjoG2GOyA66YwIDs_R7p_z0JvpWhYN-T3tuHogzvGW8QLRz-tokBlWOTjZaPPS5oYYAOppXrrn2aHAD1z7spqWjD-g8ZpQdMun3Jo8DttVKYGUc6xXTtsAkaJknwpqIpwY8OhkdISiOApLCh0UcBEgslMhMlNtAFIaZLMA7WcBPSNtVDk8JtUZJo1OTiFyLtOA5eKdKRSilMDyO7RnphBmaLTZsGLNmcs7_sF-Q_bAOIQUk0ZekvVqu8Yrs2o9V-b68rtfwC0w6oGU |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwELWgIGACRBHfeEBsKUnsODEjqKUVbVTRCHWrHPusZnGq0jLw67FDAmJgYLNOsiydfb47--49hG6oinIhufSCnOQeDQLwcp4Qj8VMaaWkJlxWZBNxmibTKR_XzepVLwwAVMVn0HHD6i9flXLtnsqshVPqAPQ20ZajzqrbtXbQbY2ceTcZ2SjwqWvT4ZRZXxh1HDl4p5n2i0Cl8h-9_X-ufIDaP514ePztYw7RBpgjpPpiaU9P8WFF-LV0pn6Pu2buoDOsZLIAkHP80pQGlQZnX2w8eNCAQyg8npemufiwCwTXNvHGhcEPYKzXKNoo63Wzx75XsyV4RRDwlcelhtCxmYdUCp9EQlkNCe6DiglQFWqbGBFFFQMd00T4uXRQYZAwrWyYpcgxapnSwAnCUsRM8EiENOc00iRXNqyKfWCMChIE8hS1nYZmiy88jFmjnLM_5Ndot5-NhrPhIH0-R3tuT1xBSMgvUGu1XMMl2pbvq-JteVXt5yfVC6Ou |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2023+3rd+International+Conference+on+Smart+Generation+Computing%2C+Communication+and+Networking+%28SMART+GENCON%29&rft.atitle=Harmonizing+Voices%3A+Enhancing+Speech+Recognition+Through+Integrated+Phonological+Features+in+Bengali&rft.au=Bhowmik%2C+Tanmay&rft.au=Choudhury%2C+Amitava&rft.date=2023-12-29&rft.pub=IEEE&rft.spage=1&rft.epage=8&rft_id=info:doi/10.1109%2FSMARTGENCON60755.2023.10442437&rft.externalDocID=10442437 |