Semantic Communication Systems for Speech Transmission

Semantic communications could improve the transmission efficiency significantly by exploring the semantic information. In this paper, we make an effort to recover the transmitted speech signals in the semantic communication systems, which minimizes the error at the semantic level rather than the bit...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 39; H. 8; S. 2434 - 2444
Hauptverfasser:	Weng, Zhenzi, Qin, Zhijin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation models Communication Communication systems Communications systems Deep learning Distortion Multimedia Multimedia systems Neural networks semantic communication Semantics Signal to noise ratio Simulation Speech speech transmission squeeze-and-excitation networks Telephone sets Telephone systems Training Transmission efficiency
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	Semantic communications could improve the transmission efficiency significantly by exploring the semantic information. In this paper, we make an effort to recover the transmitted speech signals in the semantic communication systems, which minimizes the error at the semantic level rather than the bit or symbol level. Particularly, we design a deep learning (DL)-enabled semantic communication system for speech signals, named DeepSC-S. In order to improve the recovery accuracy of speech signals, especially for the essential information, DeepSC-S is developed based on an attention mechanism by utilizing a squeeze-and-excitation (SE) network. The motivation behind the attention mechanism is to identify the essential speech information by providing higher weights to them when training the neural network. Moreover, in order to facilitate the proposed DeepSC-S for dynamic channel environments, we find a general model to cope with various channel conditions without retraining. Furthermore, we investigate DeepSC-S in telephone systems as well as multimedia transmission systems to verify the model adaptation in practice. The simulation results demonstrate that our proposed DeepSC-S outperforms the traditional communications in both cases in terms of the speech signals metrics, such as signal-to-distortion ration and perceptual evaluation of speech distortion. Besides, DeepSC-S is more robust to channel variations, especially in the low signal-to-noise (SNR) regime.
AbstractList	Semantic communications could improve the transmission efficiency significantly by exploring the semantic information. In this paper, we make an effort to recover the transmitted speech signals in the semantic communication systems, which minimizes the error at the semantic level rather than the bit or symbol level. Particularly, we design a deep learning (DL)-enabled semantic communication system for speech signals, named DeepSC-S. In order to improve the recovery accuracy of speech signals, especially for the essential information, DeepSC-S is developed based on an attention mechanism by utilizing a squeeze-and-excitation (SE) network. The motivation behind the attention mechanism is to identify the essential speech information by providing higher weights to them when training the neural network. Moreover, in order to facilitate the proposed DeepSC-S for dynamic channel environments, we find a general model to cope with various channel conditions without retraining. Furthermore, we investigate DeepSC-S in telephone systems as well as multimedia transmission systems to verify the model adaptation in practice. The simulation results demonstrate that our proposed DeepSC-S outperforms the traditional communications in both cases in terms of the speech signals metrics, such as signal-to-distortion ration and perceptual evaluation of speech distortion. Besides, DeepSC-S is more robust to channel variations, especially in the low signal-to-noise (SNR) regime.
Author	Weng, Zhenzi Qin, Zhijin
Author_xml	– sequence: 1 givenname: Zhenzi orcidid: 0000-0003-2773-2722 surname: Weng fullname: Weng, Zhenzi email: zhenzi.weng@qmul.ac.uk organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K – sequence: 2 givenname: Zhijin orcidid: 0000-0002-8507-3975 surname: Qin fullname: Qin, Zhijin email: z.qin@qmul.ac.uk organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K
BookMark	eNp9kD1PwzAQhi1UJNrCD0AskZhTzh9J7LGK-FQlhpTZcpyzcNUkxU6H_ntSWjEwMN1w73Ov7pmRSdd3SMgthQWloB7eqmW5YMDogoMsmIALMqVZJlMAkBMyhYLzVBY0vyKzGDcAVAjJpiSvsDXd4G1S9m2777w1g--7pDrEAduYuD4k1Q7RfibrYLrY-hjH_TW5dGYb8eY85-Tj6XFdvqSr9-fXcrlKLef5kCI3ORhaSCNsAy5TWeMQWZ0rzp1ytMZGNK7hanyBG2ZqZYELJRlYVSsp-Jzcn-7uQv-1xzjoTb8P3VipWZYxmoNgfEzRU8qGPsaATu-Cb004aAr6qEcf9eijHn3WMzLFH8b64ef3IRi__Ze8O5EeEX-blMhAsoJ_A1VLc8c
CODEN	ISACEM
CitedBy_id	crossref_primary_10_1109_LWC_2021_3136045 crossref_primary_10_1109_TWC_2024_3369170 crossref_primary_10_1109_JSAC_2022_3222000 crossref_primary_10_1109_JIOT_2025_3538764 crossref_primary_10_1109_JSAC_2022_3221952 crossref_primary_10_1109_JSAC_2022_3221953 crossref_primary_10_3390_e27060605 crossref_primary_10_1109_JSAC_2022_3221950 crossref_primary_10_1109_JIOT_2024_3448538 crossref_primary_10_1109_TCOMM_2024_3386577 crossref_primary_10_1117_1_JEI_34_2_023052 crossref_primary_10_1007_s10772_024_10119_3 crossref_primary_10_1109_TWC_2023_3240969 crossref_primary_10_1016_j_sasc_2025_200183 crossref_primary_10_3390_e26050394 crossref_primary_10_1016_j_jfranklin_2025_107886 crossref_primary_10_1145_3607139 crossref_primary_10_1109_JSAC_2025_3559120 crossref_primary_10_1109_MWC_010_2300180 crossref_primary_10_1109_ACCESS_2025_3607699 crossref_primary_10_1109_TCE_2023_3328905 crossref_primary_10_1109_TIFS_2025_3573192 crossref_primary_10_1109_TWC_2024_3454073 crossref_primary_10_1109_TNSE_2023_3345335 crossref_primary_10_1109_TCOMM_2024_3385915 crossref_primary_10_3390_e27040445 crossref_primary_10_1109_MCOM_001_2300807 crossref_primary_10_1109_TNSM_2025_3563257 crossref_primary_10_1109_TCCN_2024_3422496 crossref_primary_10_1109_LCOMM_2024_3499956 crossref_primary_10_1109_MWC_001_2200587 crossref_primary_10_1109_TVT_2024_3352666 crossref_primary_10_1109_TWC_2024_3397635 crossref_primary_10_1109_JIOT_2025_3555437 crossref_primary_10_1109_JSAC_2022_3221948 crossref_primary_10_1109_JIOT_2025_3529492 crossref_primary_10_1109_JSAC_2025_3559116 crossref_primary_10_1007_s11432_024_4408_1 crossref_primary_10_1109_JSAC_2025_3559115 crossref_primary_10_1109_JIOT_2025_3586038 crossref_primary_10_1049_ell2_13183 crossref_primary_10_1109_TMC_2025_3567880 crossref_primary_10_1038_s41598_025_16753_4 crossref_primary_10_1109_TWC_2024_3480352 crossref_primary_10_1109_LWC_2025_3542811 crossref_primary_10_1109_TCCN_2023_3315386 crossref_primary_10_1109_TWC_2023_3334225 crossref_primary_10_1109_TWC_2023_3339239 crossref_primary_10_1109_JIOT_2024_3352737 crossref_primary_10_1109_TVT_2024_3362328 crossref_primary_10_1109_TCCN_2024_3375506 crossref_primary_10_1109_TCOMM_2024_3435131 crossref_primary_10_1109_TVT_2023_3282742 crossref_primary_10_1038_s41598_024_70619_9 crossref_primary_10_1109_LCOMM_2025_3557421 crossref_primary_10_1007_s40435_025_01849_6 crossref_primary_10_1109_TWC_2024_3472612 crossref_primary_10_3390_electronics11091358 crossref_primary_10_1109_JIOT_2025_3565017 crossref_primary_10_1109_JSAC_2022_3191326 crossref_primary_10_1109_LWC_2022_3170849 crossref_primary_10_1109_JIOT_2023_3325289 crossref_primary_10_1109_TNET_2024_3464540 crossref_primary_10_3390_e27040429 crossref_primary_10_1109_COMST_2024_3416309 crossref_primary_10_1109_JIOT_2024_3360230 crossref_primary_10_1109_MNET_2024_3383604 crossref_primary_10_1109_JIOT_2024_3416253 crossref_primary_10_1109_TWC_2025_3527014 crossref_primary_10_1109_TIFS_2024_3516576 crossref_primary_10_1109_TMC_2024_3418881 crossref_primary_10_1109_JSAC_2024_3459028 crossref_primary_10_1109_TCOMM_2024_3511949 crossref_primary_10_1109_JIOT_2023_3302159 crossref_primary_10_1109_TGCN_2024_3374700 crossref_primary_10_3390_jmse11122280 crossref_primary_10_1109_TSC_2024_3382958 crossref_primary_10_1016_j_icte_2022_09_002 crossref_primary_10_1109_TCCN_2023_3306851 crossref_primary_10_1109_TCCN_2024_3435524 crossref_primary_10_1109_MCOM_006_2200878 crossref_primary_10_1109_TNSE_2022_3202901 crossref_primary_10_1109_TCOMM_2024_3487513 crossref_primary_10_1109_TWC_2023_3234408 crossref_primary_10_1016_j_neucom_2025_131347 crossref_primary_10_1109_TWC_2025_3535714 crossref_primary_10_1109_TCOMM_2024_3400912 crossref_primary_10_1007_s11227_025_07062_8 crossref_primary_10_1016_j_phycom_2023_102270 crossref_primary_10_1109_TVT_2023_3333350 crossref_primary_10_1109_TCOMM_2024_3511931 crossref_primary_10_3390_s24103169 crossref_primary_10_1109_JSAC_2023_3288249 crossref_primary_10_1109_LCOMM_2024_3389709 crossref_primary_10_1109_TMC_2025_3558793 crossref_primary_10_1109_JSAC_2022_3223408 crossref_primary_10_1109_TWC_2025_3534995 crossref_primary_10_1007_s11277_022_10111_7 crossref_primary_10_1109_ACCESS_2023_3266656 crossref_primary_10_1109_MCOM_021_2300269 crossref_primary_10_1109_LWC_2024_3490856 crossref_primary_10_1109_TCOMM_2022_3180997 crossref_primary_10_1109_TWC_2024_3388329 crossref_primary_10_1109_COMST_2023_3319952 crossref_primary_10_1109_TCOMM_2024_3468215 crossref_primary_10_1109_TWC_2024_3381950 crossref_primary_10_1016_j_phycom_2024_102427 crossref_primary_10_1109_JSAC_2025_3536557 crossref_primary_10_1109_TWC_2024_3424493 crossref_primary_10_1109_JIOT_2025_3534462 crossref_primary_10_1109_JSAC_2025_3531537 crossref_primary_10_1109_TCE_2023_3338819 crossref_primary_10_1109_JIOT_2025_3581778 crossref_primary_10_1109_JSAC_2024_3365872 crossref_primary_10_1109_TVT_2024_3523524 crossref_primary_10_1109_MWC_001_2300014 crossref_primary_10_1109_TWC_2023_3265201 crossref_primary_10_1109_TCCN_2024_3520132 crossref_primary_10_1109_JIOT_2024_3378003 crossref_primary_10_3390_app12094534 crossref_primary_10_3390_electronics12132755 crossref_primary_10_1109_TVT_2023_3318510 crossref_primary_10_1109_TMC_2024_3483272 crossref_primary_10_1109_COMST_2023_3300664 crossref_primary_10_1109_TCE_2025_3563921 crossref_primary_10_1109_MWC_006_2200494 crossref_primary_10_1109_TMC_2023_3312304 crossref_primary_10_1016_j_icte_2022_04_001 crossref_primary_10_1109_JSAC_2025_3574592 crossref_primary_10_1109_TVT_2022_3219363 crossref_primary_10_1109_TWC_2024_3384421 crossref_primary_10_1109_TCCN_2025_3529692 crossref_primary_10_1109_LSP_2023_3266115 crossref_primary_10_1109_TCCN_2024_3510586 crossref_primary_10_1109_TIFS_2025_3573212 crossref_primary_10_1109_JSAC_2023_3345430 crossref_primary_10_1016_j_phycom_2025_102763 crossref_primary_10_1186_s13638_025_02478_5 crossref_primary_10_1109_TWC_2024_3520870 crossref_primary_10_1109_COMST_2024_3443193 crossref_primary_10_1109_TCCN_2025_3528891 crossref_primary_10_1109_JIOT_2025_3526812 crossref_primary_10_3390_e24060846 crossref_primary_10_1109_TWC_2024_3371775 crossref_primary_10_1109_ACCESS_2023_3291405 crossref_primary_10_1109_TWC_2024_3461336 crossref_primary_10_1109_TCCN_2023_3326302 crossref_primary_10_1016_j_aeue_2024_155512 crossref_primary_10_1016_j_engappai_2025_111439 crossref_primary_10_1109_JIOT_2024_3450902 crossref_primary_10_1109_TCCN_2022_3192407 crossref_primary_10_1109_TCOMM_2022_3182325 crossref_primary_10_1109_LWC_2025_3569205 crossref_primary_10_3390_e26020102 crossref_primary_10_1016_j_comcom_2023_12_002 crossref_primary_10_1109_JIOT_2023_3301033 crossref_primary_10_1109_JIOT_2025_3564304 crossref_primary_10_1109_LWC_2024_3488859 crossref_primary_10_1109_JSTSP_2024_3521277 crossref_primary_10_1109_JSAC_2025_3531406 crossref_primary_10_1109_TWC_2024_3427675 crossref_primary_10_1007_s11036_023_02267_8 crossref_primary_10_1109_JPROC_2024_3437730 crossref_primary_10_3390_electronics14051005 crossref_primary_10_1109_TWC_2025_3553851 crossref_primary_10_1109_ACCESS_2023_3269848 crossref_primary_10_3390_electronics14050956 crossref_primary_10_1016_j_future_2022_10_036 crossref_primary_10_1109_TCCN_2024_3522140 crossref_primary_10_1109_TWC_2024_3386807 crossref_primary_10_1109_TCOMM_2023_3274145 crossref_primary_10_1109_JIOT_2025_3532484 crossref_primary_10_1109_COMST_2023_3333342 crossref_primary_10_1109_TWC_2023_3238463 crossref_primary_10_1109_TWC_2023_3312115 crossref_primary_10_3390_electronics11101567 crossref_primary_10_1016_j_phycom_2024_102589 crossref_primary_10_1109_TCCN_2024_3394867 crossref_primary_10_3390_s24030957 crossref_primary_10_1109_TCOMM_2024_3405355 crossref_primary_10_1109_LSP_2023_3265330 crossref_primary_10_1109_TVT_2025_3548844 crossref_primary_10_1109_TCOMM_2024_3447870 crossref_primary_10_1007_s11760_025_03826_0 crossref_primary_10_1109_ACCESS_2025_3532797 crossref_primary_10_1109_MWC_004_2200393 crossref_primary_10_1109_TWC_2023_3269444 crossref_primary_10_3390_electronics14061130 crossref_primary_10_3390_e27060651 crossref_primary_10_3390_electronics13204076 crossref_primary_10_1109_MCOM_001_2200105 crossref_primary_10_1109_JIOT_2025_3545667 crossref_primary_10_1109_TCOMM_2024_3496714 crossref_primary_10_1109_TITS_2022_3174704 crossref_primary_10_1109_JSAC_2024_3460084 crossref_primary_10_1109_JIOT_2023_3325320 crossref_primary_10_3390_electronics13050831 crossref_primary_10_1109_JPROC_2024_3417528 crossref_primary_10_3390_e27080813 crossref_primary_10_1109_TSP_2024_3411692 crossref_primary_10_1016_j_jfranklin_2024_107055 crossref_primary_10_1109_LCOMM_2025_3563920 crossref_primary_10_1109_JIOT_2025_3580597 crossref_primary_10_1109_TCCN_2023_3345858 crossref_primary_10_1016_j_jfranklin_2025_107598 crossref_primary_10_1109_JIOT_2024_3431236 crossref_primary_10_1109_TWC_2024_3450697 crossref_primary_10_1109_JSAC_2022_3221990 crossref_primary_10_1109_JSAC_2022_3221991 crossref_primary_10_3390_app122211706 crossref_primary_10_1016_j_fmre_2023_08_002 crossref_primary_10_1109_TWC_2024_3512652 crossref_primary_10_1109_JIOT_2024_3350656 crossref_primary_10_1109_TNSE_2025_3566336 crossref_primary_10_1109_JIOT_2025_3582442 crossref_primary_10_1007_s12243_023_00980_9 crossref_primary_10_1109_JSTSP_2023_3310654 crossref_primary_10_1109_JSTSP_2023_3239189 crossref_primary_10_1109_JSAC_2025_3559160 crossref_primary_10_1109_TVT_2025_3529763 crossref_primary_10_1109_JIOT_2024_3378779 crossref_primary_10_1007_s11235_024_01249_9 crossref_primary_10_1109_TWC_2022_3232565 crossref_primary_10_1631_FITEE_2300196 crossref_primary_10_1109_TWC_2024_3376998 crossref_primary_10_1109_TWC_2023_3349330 crossref_primary_10_1109_TCOMM_2024_3364990 crossref_primary_10_1109_JSTSP_2023_3300509 crossref_primary_10_3390_e24121842 crossref_primary_10_1109_TMC_2024_3446829 crossref_primary_10_1109_TWC_2024_3433479 crossref_primary_10_1109_COMST_2024_3471685 crossref_primary_10_1109_JSAC_2022_3191112 crossref_primary_10_1109_JSAC_2022_3221976 crossref_primary_10_1109_JSAC_2023_3280966 crossref_primary_10_1109_TWC_2023_3330744 crossref_primary_10_1109_TGCN_2024_3399108 crossref_primary_10_1109_ACCESS_2025_3526664 crossref_primary_10_1109_TMC_2024_3351428 crossref_primary_10_1109_COMST_2022_3223224 crossref_primary_10_1109_JIOT_2025_3531910 crossref_primary_10_1109_TWC_2025_3532501 crossref_primary_10_1109_MIE_2022_3174331 crossref_primary_10_1109_JSAC_2023_3240713 crossref_primary_10_1109_LCOMM_2024_3407133 crossref_primary_10_1109_TCCN_2024_3401712 crossref_primary_10_1109_LCOMM_2022_3203984 crossref_primary_10_1109_MNET_2023_3317110 crossref_primary_10_1109_JPROC_2024_3520707 crossref_primary_10_3390_electronics11101533 crossref_primary_10_1007_s11432_024_4337_1 crossref_primary_10_1109_JIOT_2023_3305011 crossref_primary_10_1109_MWC_008_2200180 crossref_primary_10_3390_a17110492 crossref_primary_10_1109_JSAC_2022_3221968 crossref_primary_10_1109_LWC_2023_3255221 crossref_primary_10_1109_LWC_2024_3508816 crossref_primary_10_1109_TSMC_2025_3571480 crossref_primary_10_1109_LWC_2025_3561012
Cites_doi	10.1109/35.620524 10.1109/JSAC.2020.3036968 10.1109/SPAWC48557.2020.9154306 10.1109/ICASSP40776.2020.9053252 10.1109/ALLERTON.2017.8262721 10.1109/SPAWC.2018.8445920 10.1109/TCCN.2018.2872596 10.1109/CISS.2017.7926071 10.1109/TWC.2020.2970707 10.1109/ICASSP.2001.941023 10.1109/TSA.2005.858005 10.1109/MWC.2019.1800601 10.1109/TCCN.2017.2758370 10.1109/JSAC.2019.2933891 10.1109/LCOMM.2017.2787646 10.1109/LWC.2017.2757490 10.1109/TSP.2020.2976585 10.1109/JSAIT.2020.2987203 10.1109/JPROC.2019.2957798 10.1109/TSP.2018.2866382 10.1109/ACCESS.2019.2920929 10.1016/j.pmcj.2013.07.013 10.1109/TASL.2011.2134090 10.1109/JSAC.2020.3036955 10.1109/TSP.2021.3071210 10.1109/TPAMI.2019.2913372 10.1109/TCCN.2019.2919300 10.1109/SPAWC.2017.8227772 10.1109/TKDE.2009.191
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
DBID	97E RIA RIE AAYXX CITATION 7SP 8FD L7M
DOI	10.1109/JSAC.2021.3087240
DatabaseName	IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Electronics & Communications Abstracts Technology Research Database Advanced Technologies Database with Aerospace
DatabaseTitle	CrossRef Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts
DatabaseTitleList	Technology Research Database
Database_xml	– sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1558-0008
EndPage	2444
ExternalDocumentID	10_1109_JSAC_2021_3087240 9450827
Genre	orig-research
GroupedDBID	-~X .DC 0R~ 29I 3EH 4.4 41~ 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK ACNCT ADRHT AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD HZ~ H~9 IBMZZ ICLAB IES IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE RNS TN5 VH1 AAYXX CITATION 7SP 8FD L7M
ID	FETCH-LOGICAL-c336t-e3a60a178a4cd0f595dfee2b6933f9f1bed4dfd391093a2ab9c0349820c9b9843
IEDL.DBID	RIE
ISICitedReferencesCount	405
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000673624000013&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0733-8716
IngestDate	Mon Jun 30 10:20:03 EDT 2025 Sat Nov 29 03:23:03 EST 2025 Tue Nov 18 20:42:37 EST 2025 Wed Aug 27 02:40:51 EDT 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	8
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c336t-e3a60a178a4cd0f595dfee2b6933f9f1bed4dfd391093a2ab9c0349820c9b9843
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0002-8507-3975 0000-0003-2773-2722
OpenAccessLink	https://qmro.qmul.ac.uk/xmlui/handle/123456789/72821
PQID	2552160423
PQPubID	85481
PageCount	11
ParticipantIDs	ieee_primary_9450827 proquest_journals_2552160423 crossref_primary_10_1109_JSAC_2021_3087240 crossref_citationtrail_10_1109_JSAC_2021_3087240
PublicationCentury	2000
PublicationDate	2021-08-01
PublicationDateYYYYMMDD	2021-08-01
PublicationDate_xml	– month: 08 year: 2021 text: 2021-08-01 day: 01
PublicationDecade	2020
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	IEEE journal on selected areas in communications
PublicationTitleAbbrev	J-SAC
PublicationYear	2021
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref13 ref34 ref12 ref15 ref36 ref14 weng (ref1) 2021 ref31 maatouk (ref11) 2020 ref30 ref33 wu (ref37) 1999 ref2 ref17 (ref35) 2001 ref16 ref19 ref18 qin (ref3) 2020 shannon (ref9) 1949 molchanov (ref38) 2016 vaswani (ref32) 2017 ref24 ref23 ref26 ref25 ref20 ref22 ref21 carnap (ref10) 1952 ref28 ref27 ref29 ref8 ref7 ref4 ref6 ref5
References_xml	– ident: ref36 doi: 10.1109/35.620524 – ident: ref16 doi: 10.1109/JSAC.2020.3036968 – ident: ref21 doi: 10.1109/SPAWC48557.2020.9154306 – ident: ref31 doi: 10.1109/ICASSP40776.2020.9053252 – year: 2020 ident: ref11 article-title: The age of incorrect information: An enabler of semantics-empowered communication publication-title: arXiv 2012 13214 – year: 1952 ident: ref10 article-title: An outline of a theory of semantic information – ident: ref26 doi: 10.1109/ALLERTON.2017.8262721 – ident: ref25 doi: 10.1109/SPAWC.2018.8445920 – ident: ref14 doi: 10.1109/TCCN.2018.2872596 – ident: ref4 doi: 10.1109/CISS.2017.7926071 – year: 2016 ident: ref38 article-title: Pruning convolutional neural networks for resource efficient inference publication-title: arXiv 1611 06440 – ident: ref29 doi: 10.1109/TWC.2020.2970707 – ident: ref34 doi: 10.1109/ICASSP.2001.941023 – ident: ref33 doi: 10.1109/TSA.2005.858005 – year: 1949 ident: ref9 publication-title: The Mathematical Theory of Communication – ident: ref2 doi: 10.1109/MWC.2019.1800601 – ident: ref13 doi: 10.1109/TCCN.2017.2758370 – ident: ref28 doi: 10.1109/JSAC.2019.2933891 – start-page: 6000 year: 2017 ident: ref32 article-title: Attention is all you need publication-title: Proc 31st Int Conf Neural Inf Process Syst (NIPS) – ident: ref24 doi: 10.1109/LCOMM.2017.2787646 – ident: ref5 doi: 10.1109/LWC.2017.2757490 – ident: ref27 doi: 10.1109/TSP.2020.2976585 – year: 2020 ident: ref3 article-title: Federated learning and wireless communications publication-title: arXiv 2005 05265 – ident: ref18 doi: 10.1109/JSAIT.2020.2987203 – ident: ref8 doi: 10.1109/JPROC.2019.2957798 – ident: ref7 doi: 10.1109/TSP.2018.2866382 – ident: ref20 doi: 10.1109/ACCESS.2019.2920929 – ident: ref12 doi: 10.1016/j.pmcj.2013.07.013 – year: 2001 ident: ref35 publication-title: Perceptual Evaluation of Speech Quality (PESQ) An Objective Method for End-to-End Speech Quality Assessment of Narrow-Band Telephone Networks and Speech Codecs – ident: ref22 doi: 10.1109/TASL.2011.2134090 – year: 2021 ident: ref1 article-title: Semantic communications for speech signals publication-title: Proc IEEE Int Conf Commun (ICC) – ident: ref19 doi: 10.1109/JSAC.2020.3036955 – ident: ref15 doi: 10.1109/TSP.2021.3071210 – ident: ref23 doi: 10.1109/TPAMI.2019.2913372 – start-page: 1683 year: 1999 ident: ref37 article-title: The influence of quantization and fixed point arithmetic upon the BER performance of turbo codes publication-title: Proc IEEE Veh Technol Conf (VTC Spring) – ident: ref17 doi: 10.1109/TCCN.2019.2919300 – ident: ref6 doi: 10.1109/SPAWC.2017.8227772 – ident: ref30 doi: 10.1109/TKDE.2009.191
SSID	ssj0014482
Score	2.7368555
Snippet	Semantic communications could improve the transmission efficiency significantly by exploring the semantic information. In this paper, we make an effort to...
SourceID	proquest crossref ieee
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	2434
SubjectTerms	Adaptation models Communication Communication systems Communications systems Deep learning Distortion Multimedia Multimedia systems Neural networks semantic communication Semantics Signal to noise ratio Simulation Speech speech transmission squeeze-and-excitation networks Telephone sets Telephone systems Training Transmission efficiency
Title	Semantic Communication Systems for Speech Transmission
URI	https://ieeexplore.ieee.org/document/9450827 https://www.proquest.com/docview/2552160423
Volume	39
WOSCitedRecordID	wos000673624000013&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1558-0008 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014482 issn: 0733-8716 databaseCode: RIE dateStart: 19830101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEB7a4kEPvqpYrZKDJ3HbJJvXHkuxiIciVKG3sJmdYEHb0oe_393NtlQUwVsguyF8M8nM7Mx8A3CbChnpOwHLCGOmlSJmRVgkDJUoeUSSJyjtsIl0OMzGY_Fcg_ttLwwR2eIz6phLm8tXM1ybo7KuiLQ7EaZ1qKdpUvVqbTMGOsywGYOUc2aCAJfBDHzRfRr1-joSDIOOob8LzTnHjg2yQ1V-_ImteRkc_e_FjuHQuZFer5L7CdRoegoHO-SCTUhG9KFhm6D3rQnEcxzlnvZWvdGcCN88a7C0wM3J2Rm8Dh5e-o_MTUlgyHmyYsRl4ssgzWSEyi9jEauSSOMtOC9FGRSkIlUqLgxxlAxlIdBw0mjLj6IQWcTPoTGdTekCPIWmwZx0fJ0F2mih1PGrIY_JeISZktgCf4Nbjo5C3EyyeM9tKOGL3ECdG6hzB3UL7rZb5hV_xl-Lmwbb7UIHawvaG-Hk7gtb5lqrwiAxVT2Xv--6gn3z7KpYrw2N1WJN17CHn6vJcnFjlecLkq_BDw
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8NADA9zCuqDX1OcTu2DT2K3tte1vccxHFPnEDZhb-V6l-JAN9mHf7-X221MFMG3Qu9o-SVtkkvyC8B1zEWo7_hugrLuaqWou1mQRa5UPGchChZJYYZNxN1uMhjw5wLcrnphENEUn2GVLk0uX43lnI7KajzU7kQQb8AmTc6y3VqrnIEONEzOIGbMpTDA5jB9j9ceeo2mjgUDv0oEeAGddKxZITNW5ce_2BiY1v7_Xu0A9qwj6TQWkj-EAo6OYHeNXrAEUQ_fNXBD6XxrA3EsS7mj_VWn94EoXx1jsrTI6ezsGF5ad_1m27VzElzJWDRzkYnIE36ciFAqL6_zusoRNeKcsZznfoYqVLlinKijRCAyLomVRtt-yTOehOwEiqPxCE_BUZJazFFH2ImvzZYUOoIl-piEhTJRQpbBW-KWSksiTrMs3lITTHg8JahTgjq1UJfhZrXlY8Gg8dfiEmG7WmhhLUNlKZzUfmPTVOtV4EdU13P2-64r2G73nzpp5777eA479JxF6V4FirPJHC9gS37OhtPJpVGkL9AdxFg
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%3Ajournal&rft.genre=article&rft.atitle=Semantic+Communication+Systems+for+Speech+Transmission&rft.jtitle=IEEE+journal+on+selected+areas+in+communications&rft.au=Weng%2C+Zhenzi&rft.au=Qin%2C+Zhijin&rft.date=2021-08-01&rft.pub=IEEE&rft.issn=0733-8716&rft.volume=39&rft.issue=8&rft.spage=2434&rft.epage=2444&rft_id=info:doi/10.1109%2FJSAC.2021.3087240&rft.externalDocID=9450827
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0733-8716&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0733-8716&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0733-8716&client=summon