{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T19:03:54Z","timestamp":1772910234761,"version":"3.50.1"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2021,1,2]],"date-time":"2021-01-02T00:00:00Z","timestamp":1609545600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,2]],"date-time":"2021-01-02T00:00:00Z","timestamp":1609545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1007\/s12652-020-02700-w","type":"journal-article","created":{"date-parts":[[2021,1,2]],"date-time":"2021-01-02T02:02:39Z","timestamp":1609552959000},"page":"9591-9610","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Deep convolutional neural network based secure wireless voice communication for underground mines"],"prefix":"10.1007","volume":"12","author":[{"given":"Prasanjit","family":"Dey","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chandan","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitrabarun","family":"Mitra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richa","family":"Mishra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5396-0086","authenticated-orcid":false,"given":"S. K.","family":"Chaulya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G. M.","family":"Prasad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S. K.","family":"Mandal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,2]]},"reference":[{"key":"2700_CR1","unstructured":"Andrearczyk V, Whelan PF (2016) Deep learning methods for texture analysis in medical imaging. In: Proceedings of the 18th Irish machine vision and image processing conference, Galway, Ireland, pp 1\u20136"},{"key":"2700_CR2","unstructured":"Ardila D, Resnick C, Roberts A, Eck D (2016) Audio deepdream: optimizing raw audio with convolutional networks. In: Proceedings of the International Society for music information retrieval conference, USA, pp 7\u201311"},{"key":"2700_CR3","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.ssci.2013.01.010","volume":"57","author":"S Bahn","year":"2013","unstructured":"Bahn S (2013) Workplace hazard identification and management the case of an underground mining operation. Saf Sci 57:129\u2013137","journal-title":"Saf Sci"},{"key":"2700_CR4","unstructured":"Caldwell CE, Linkola JP (2018) US Patent Application No. 15\/944749"},{"key":"2700_CR5","doi-asserted-by":"crossref","unstructured":"Chauhan N, Isshiki T, Li D (2019) Speaker recognition using LPC, MFCC, ZCR features with ANN and SVM classifier for large input database. In: Proceedings of IEEE international conference on Computer and Communication Systems,\u00a0Singapore, pp 130\u2013133","DOI":"10.1109\/CCOMS.2019.8821751"},{"key":"2700_CR7","unstructured":"Chorowski JK, Bahdanau D, Serdyuk D, Cho K, Bengio Y (2015) Attention-based models for speech recognition. In: Proceedings of advances in neural information processing systems, Canada, pp 577\u2013585"},{"key":"2700_CR6","doi-asserted-by":"crossref","unstructured":"Chorowski J, Weis RJ, Saurou RA, Bengio S (2018) On using backpropagation for speech texture generation and voice conversion. In: Proceedings of IEEE International Conference on acoustics speech and signal, Canada, pp 2256\u20132260.","DOI":"10.1109\/ICASSP.2018.8461282"},{"issue":"8","key":"2700_CR8","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1016\/j.cose.2009.05.003","volume":"28","author":"R Dantu","year":"2009","unstructured":"Dantu R, Fahmy S, Schulzrinne H, Cangussu J (2009) Issues and challenges in securing VoIP. Comput Secur 28(8):743\u2013753","journal-title":"Comput Secur"},{"key":"2700_CR9","doi-asserted-by":"crossref","unstructured":"Dewi SP, Prasasti AL, Irawan B (2019) Analysis of LFCC feature extraction in baby crying classification using KNN. In: Proceedings of IEEE International Conference on Internet of Things and Intelligence System,\u00a0Indonesia, pp 86\u201391","DOI":"10.1109\/IoTaIS47347.2019.8980389"},{"key":"2700_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5730-8","volume-title":"An introduction to text-to-speech synthesis","author":"T Dutoit","year":"1997","unstructured":"Dutoit T (1997) An introduction to text-to-speech synthesis, vol 3. Springer Science and Business Media, London"},{"key":"2700_CR11","doi-asserted-by":"crossref","unstructured":"Fadlilah AF, Djamal EC (2019) Speaker and speech recognition using hierarchy support vector machine and backpropagation. In: Proceedings of IEEE International Conference on Electrical Engineering, Computer Science and Informatics,\u00a0Indonesia, pp 404\u2013409.","DOI":"10.23919\/EECSI48112.2019.8976919"},{"issue":"7","key":"2700_CR12","doi-asserted-by":"publisher","first-page":"738","DOI":"10.1002\/mds.10473","volume":"18","author":"CG Goetz","year":"2003","unstructured":"Goetz CG, Poewe W, Rascol O, Sampaio C, Stebbins GT (2003) The unified Parkinson\u2019s Disease Rating Scale (UPDRS): status and recommendations. Mov Disord 18(7):738\u2013750. https:\/\/doi.org\/10.1002\/mds.10473","journal-title":"Mov Disord"},{"key":"2700_CR13","doi-asserted-by":"crossref","unstructured":"Goode B (2002) Voice over internet protocol (VoIP). In: Proceedings of IEEE, pp 1495\u20131517","DOI":"10.1109\/JPROC.2002.802005"},{"key":"2700_CR14","unstructured":"Graves A, Jaitly N (2014) Towards end-to-end speech recognition with recurrent neural networks. In: Proceedings of International Conference on machine learning, China, pp 1764\u20131772"},{"key":"2700_CR15","doi-asserted-by":"crossref","unstructured":"Gupta DK, Gupta VK, Chandra M, Mishra AN, Srivastava PK (2019) Hardware co-simulation of adaptive noise cancellation system using LMS and leaky LMS algorithms. In: Proceedings of IEEE International Conference on internet of things: smart innovation and usages, India,\u00a0pp 1\u20136.","DOI":"10.1109\/IoT-SIU.2019.8777658"},{"issue":"8","key":"2700_CR16","doi-asserted-by":"publisher","first-page":"2915","DOI":"10.1007\/s11276-017-1512-3","volume":"24","author":"WB Hsieh","year":"2018","unstructured":"Hsieh WB, Leu JS (2018) Implementing a secure VoIP communication over SIP-based networks. Wirel Netw 24(8):2915\u20132926","journal-title":"Wirel Netw"},{"key":"2700_CR17","doi-asserted-by":"crossref","unstructured":"Ikeda H, Kawamura Y, Jang, H, Mokhtar NEB, Yokokura J, Paul Z, Tungol L(2019) Development of an underground in-situ stress monitoring system for mining safety using multi sensor cell and wi-fi direct technology. In: Proceedings of\u00a0International Symposium on mine planning and equipment Selection,\u00a0Springer, Cham, pp 236\u2013244","DOI":"10.1007\/978-3-030-33954-8_30"},{"key":"2700_CR18","unstructured":"Jiang H, Bai J, Zhang S, Xu B (2005) SVM-based audio scene classification. In: Proceedings of IEEE International Conference on natural language processing and knowledge engineering, China, pp 131\u2013136"},{"issue":"12","key":"2700_CR19","doi-asserted-by":"publisher","first-page":"27","DOI":"10.24018\/ejers.2019.4.12.1625","volume":"4","author":"S Kaul","year":"2019","unstructured":"Kaul S, Jain A (2019) Opus and session initiation protocol security in voice over IP (VOIP). Eur J Eng Res Sci 4(12):27\u201337","journal-title":"Eur J Eng Res Sci"},{"issue":"20","key":"2700_CR20","first-page":"27","volume":"50","author":"HB Kekre","year":"2012","unstructured":"Kekre HB, Kulkarni GP, Gupta N (2012) Speaker identification using spectrograms of varying frame sizes. Int J oComput Appl 50(20):27\u201333","journal-title":"Int J oComput Appl"},{"key":"2700_CR21","unstructured":"Khan HM, Gunnalan R, Mahabhashyam (2013) SPM US Patent No. 8,385,326. Washington DC US Patent and Trademark Office."},{"key":"2700_CR22","doi-asserted-by":"crossref","unstructured":"Khunarsal P, Lursinsa C, Raicharoen T (2009) Singing voice recognition based on matching of spectrogram pattern. In: Proceedings of International Joint Conference on neural networks, USA, pp 1595\u20131599","DOI":"10.1109\/IJCNN.2009.5179014"},{"key":"2700_CR23","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1109\/TC.1980.1675570","volume":"4","author":"H Kitajima","year":"1980","unstructured":"Kitajima H (1980) A symmetric cosine transform. IEEE Trans Comput 4:317\u2013323","journal-title":"IEEE Trans Comput"},{"key":"2700_CR24","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: Proceeding of advances in neural information processing systems, United States, pp 1097\u20131105"},{"key":"2700_CR25","doi-asserted-by":"crossref","unstructured":"Kubichek R (1993) Mel-cepstral distance measure for objective speech quality assessment. In: Proceedings of IEEE Pacific Rim Conference on communications computers and signal processing, Canada, pp 125\u2013128","DOI":"10.1109\/PACRIM.1993.407206"},{"key":"2700_CR26","first-page":"1","volume":"2","author":"H Liu","year":"2016","unstructured":"Liu H, Li L, Ma J (2016) Rolling bearing fault diagnosis based on STFT-deep learning and sound signals. Shock Vib 2:1\u201312","journal-title":"Shock Vib"},{"key":"2700_CR27","doi-asserted-by":"crossref","unstructured":"Matveykin V, Nemtinov V, Dmitrievsky B, Praveen K (2019) Development and implementation of network based underground mines safety, rescue and aided rescue system. In: Proceedings of journal of physics: conference series, Russia, pp 1\u201312","DOI":"10.1088\/1742-6596\/1278\/1\/012017"},{"issue":"4","key":"2700_CR28","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/MCOM.2010.5439078","volume":"48","author":"P Misra","year":"2010","unstructured":"Misra P, Kanhere S, Ostry D, Jha S (2010) Safety assurance and rescue communication systems in high-stress environments a mining case study. IEEE Commun Mag 48(4):66\u2013739","journal-title":"IEEE Commun Mag"},{"key":"2700_CR29","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.specom.2017.01.008","volume":"88","author":"SH Mohammadi","year":"2017","unstructured":"Mohammadi SH, Kain A (2017) An overview of voice conversion systems. Speech Commun 88:65\u201382","journal-title":"Speech Commun"},{"key":"2700_CR30","unstructured":"Oord AVD, Dieleman S, Zen H, Simonyan K, Vinyals O, Graves A, Kalchbrenner N, Senior A, Kavukcuoglu K (2016) Wavenet a generative model for raw audio.arXiv preprint arXiv:1609.03499"},{"key":"2700_CR31","unstructured":"Radford A, Metz L, Chintala S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434"},{"key":"2700_CR32","doi-asserted-by":"crossref","unstructured":"Salau AO, Oluwafemi I, Faleye KF, Jain S (2019) audio compression using a modified discrete cosine transform with temporal auditory masking. In: Proceedings of IEEE International Conference on signal processing and communication (ICSC), India, pp 135\u2013142","DOI":"10.1109\/ICSC45622.2019.8938213"},{"issue":"6","key":"2700_CR33","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1016\/j.ssci.2011.02.017","volume":"49","author":"JH Saleh","year":"2011","unstructured":"Saleh JH, Cummings AM (2011) Safety in the mining industry and the unfinished legacy of mining accidents safety levers and defense-in-depth for addressing mining hazards. Saf Sci 49(6):764\u2013777","journal-title":"Saf Sci"},{"key":"2700_CR34","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.ssci.2015.01.016","volume":"75","author":"L Sanmiquel","year":"2015","unstructured":"Sanmiquel L, Rossell JM, Vintr\u00f3 C (2015) Study of Spanish mining accidents using data mining techniques. Saf Sci 75:49\u201355","journal-title":"Saf Sci"},{"key":"2700_CR35","doi-asserted-by":"crossref","unstructured":"Schuller B, Reiter S, Muller R, Al-Hames M, Lang M, Rigoll G (2005) Speaker independent speech emotion recognition by ensemble classification. In: Proceedings of IEEE International Conference on multimedia and expo, Netherlands, pp 864\u2013867","DOI":"10.1109\/ICME.2005.1521560"},{"issue":"3","key":"2700_CR36","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1145\/372346.372369","volume":"4","author":"H Schulzrinne","year":"2000","unstructured":"Schulzrinne H, Wedlun E (2000) Application-layer mobility using SIP. Mob Comput Commun Rev 4(3):47\u201357","journal-title":"Mob Comput Commun Rev"},{"key":"2700_CR37","first-page":"25","volume":"8","author":"RXZ Shunyi","year":"2001","unstructured":"Shunyi RXZ (2001) Next generation network architecture based on softswitch. Telecommn Sci 8:25\u201331","journal-title":"Telecommn Sci"},{"key":"2700_CR38","unstructured":"Simonyan K, Vedaldi A, Zisserman A (2013) Deep inside convolutional networks visualising image classification models and saliency maps. arXiv preprint arXiv:1312.6034"},{"key":"2700_CR39","unstructured":"Sing S, Keil D, Loeser M, South M, Villani P (2018) US Patent Application No. 15\/925,063"},{"key":"2700_CR40","unstructured":"Ulyanov D, Lebedev V (2016) Audio texture synthesis and style transfer. https:\/\/www.dmitryulyanov.github.io\/audio-texture-synthesis-and-style-transfer. Accessed 13 Dec 2016"},{"key":"2700_CR41","doi-asserted-by":"crossref","unstructured":"Wang X, Tang H, Zhao X (2004) Noisy speech pitch detection based on mathematical morphology and weighted MACF. In: Proceedings of Chinese Conference on biometric recognition, Berlin, pp 594\u2013601","DOI":"10.1007\/978-3-540-30548-4_68"},{"key":"2700_CR42","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1016\/j.neucom.2015.10.035","volume":"174","author":"Y Wang","year":"2016","unstructured":"Wang Y, Xie Z, Xu K, Dou Y, Lei Y (2016) An efficient and effective convolutional auto-encoder extreme learning machine network for 3D feature learning. Neurocomputing 174:988\u2013998","journal-title":"Neurocomputing"},{"key":"2700_CR43","doi-asserted-by":"crossref","unstructured":"Winursito A, Hidayat R, Bejo A (2018) Improvement of mfcc feature extraction accuracy using PCA in Indonesian speech recognition. In: Proceedings of IEEE international Conference on information and communications technology,\u00a0Indonesia, pp 379\u2013383","DOI":"10.1109\/ICOIACT.2018.8350748"},{"issue":"1","key":"2700_CR44","first-page":"1","volume":"1","author":"J Yu","year":"2008","unstructured":"Yu J, Al Ajarmeh I (2008) Design and traffic engineering of VoIP for enterprise and carrier networks. Int J Adv Telecommun 1(1):1\u201313","journal-title":"Int J Adv Telecommun"},{"key":"2700_CR45","doi-asserted-by":"crossref","unstructured":"Yue J, Wang Z, Ran Y (2019) SIP-based interactive voice response system using frees witch EPBX. In: Proceedings of International Conference on intelligent and interactive systems and applications, Thailand, pp 614\u2013621","DOI":"10.1007\/978-3-030-34387-3_75"},{"key":"2700_CR46","doi-asserted-by":"crossref","unstructured":"Zen H, Agiomyrgiannakis Y, Egberts N, Henderson, F, Szczepaniak P (2016) Fast, compact, and high quality LSTM-RNN based statistical parametric speech synthesizers for mobile devices. arXiv preprint arXiv:1606.06061","DOI":"10.21437\/Interspeech.2016-522"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02700-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-020-02700-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02700-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T19:51:14Z","timestamp":1630439474000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-020-02700-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,2]]},"references-count":46,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2021,10]]}},"alternative-id":["2700"],"URL":"https:\/\/doi.org\/10.1007\/s12652-020-02700-w","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,2]]},"assertion":[{"value":"2 May 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}