Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Vishal Passricha"'
Autor:
Shubhanshi Singhal, Vishal Passricha
Publikováno v:
International Journal of Advanced Pervasive and Ubiquitous Computing. 11:1-15
CNNs are playing a vital role in the field of automatic speech recognition. Most CNNs employ a softmax activation layer to minimize cross-entropy loss. This layer generates the posterior probability in object classification tasks. SVMs are also offer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b71c436efe2b3e83433785aa146949e
https://doi.org/10.4018/ijapuc.2019100101
https://doi.org/10.4018/ijapuc.2019100101
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:675-691
State-of-the-art speech recognition is witnessing its golden era as convolutional neural network (CNN) becomes the leader in this domain. CNN based acoustic models have been shown significant improvement in speech recognition tasks. This improvement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15483156f510f00ffbb2ea8e3deb75fe
https://doi.org/10.1007/s12652-019-01325-y
https://doi.org/10.1007/s12652-019-01325-y
Publikováno v:
International Journal of Advanced Pervasive and Ubiquitous Computing. 11:27-40
Cloud storage (CS) is gaining much popularity nowadays because it offers low-cost and convenient network storage services. In this big data era, the explosive growth in digital data moves the users towards CS but this causes a lot of storage pressure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59ffe5d009688668a4eb5e88898a1b3d
https://doi.org/10.4018/ijapuc.2019040103
https://doi.org/10.4018/ijapuc.2019040103
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1261-1274 (2019)
Deep neural networks (DNNs) have been playing a significant role in acoustic modeling. Convolutional neural networks (CNNs) are the advanced version of DNNs that achieve 4–12% relative gain in the word error rate (WER) over DNNs. Existence of spect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e609fa9ebb239b7b7614afbdf474d74c
https://doaj.org/article/db1d1e6708054808a3969b6d2d201b62
https://doaj.org/article/db1d1e6708054808a3969b6d2d201b62
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 10:4615-4624
Efficient and robust automatic speech recognition (ASR) systems are in high demand in the present scenario. Mostly ASR systems are generally fed with cepstral features like mel-frequency cepstral coefficients and perceptual linear prediction. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a200b4a01da11d4034b77306d4665f
https://doi.org/10.1007/s12652-018-1146-z
https://doi.org/10.1007/s12652-018-1146-z
Publikováno v:
International Journal of Grid and High Performance Computing. 10:43-66
This article describes how data deduplication efficiently eliminates the redundant data by selecting and storing only single instance of it and becoming popular in storage systems. Digital data is growing much faster than storage volumes, which shows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6acae08da419c92634354ce17d7351e4
https://doi.org/10.4018/ijghpc.2018100103
https://doi.org/10.4018/ijghpc.2018100103
Cloud storage (CS) is gaining much popularity nowadays because it offers low-cost and convenient network storage services. In this big data era, the explosive growth in digital data moves the users towards CS to store their massive data. This explosi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81504c427e78026f0ebc58861ca6ef8b
https://zenodo.org/record/4243286
https://zenodo.org/record/4243286
Autor:
Renu Yadav, Vishal Passricha
Publikováno v:
2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon).
IoT is a distributed network of smart objects that are remotely controlled by the devices across the world. IoT is an insolent technology that growing rapidly. It will make benefits to many applications which make our life comfortable, smoother and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59cf9a9ac51aea64b7750c440854c3d8
https://doi.org/10.1109/comitcon.2019.8862223
https://doi.org/10.1109/comitcon.2019.8862223
Autor:
Rajesh Kumar Aggarwal, Mazid Alam, David Brown, Himanish Shekhar Das, Anilesh Dey, Smita Dey, Juan C. Gómez, Dharm Singh Jat, S. Jothilakshmi, Biswajit Karan, Anton Sokamato Limbo, Kartik Mahto, Rajesh Kumar Muthu, A. NithyaKalyani, Vishal Passricha, Pinki Roy, Gonzalo D. Sad, Sajal Saha, Sitanshu Sekhar Sahu, K.C. Santosh, Sudhangshu Sarkar, Charu Singh, Lucas D. Terissi, Maarten Venter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b3d8a4511b1f602ddc1c6bcdd19470
https://doi.org/10.1016/b978-0-12-818130-0.09990-6
https://doi.org/10.1016/b978-0-12-818130-0.09990-6
State-of-the-art automatic speech recognition (ASR) systems map speech into its corresponding text. Conventional ASR systems model the speech signal into phones in two steps; feature extraction and classifier training. Traditional ASR systems have be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1516f9c74a00eae3d5baaa1fba1f199
https://doi.org/10.1016/b978-0-12-818130-0.00002-7
https://doi.org/10.1016/b978-0-12-818130-0.00002-7