Kernelized Deep Networks for Speech Signal Segmentation Using Clustering and Artificial Intelligence in Neural Networks-Reference-Cited by-同舟云学术

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Kernelized Deep Networks for Speech Signal Segmentation Using Clustering and Artificial Intelligence in Neural Networks

Published:2023-04-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
language:
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Author:

Niveditha S¹^ORCID,Shreyanth S²^ORCID,Kathiroli V³^ORCID,Agarwal Priyanka²^ORCID,Ram Abishek S⁴^ORCID

Affiliation:

1. Rajalakshmi Engineering College,Department of Biotechnology,Chennai,India,602105

2. Data Science and Engineering Birla Institute of Technology and Science,Pilani,India,333031

3. Birla Institute of Technology and Science,Automotive Engineering,Pilani,India,333031

4. Software Development Engineer Altair Engineering India Pvt Ltd,Chennai,India,600032

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134573/10134574/10134609.pdf?arnumber=10134609

Reference10 articles.

1. A novel Lanczos quaternion singular spectrum analysis method and its application to bevel gear fault diagnosis with multi-channel signals

2. Convolutional Neural Networks-based continuous speech recognition using raw speech signal

3. Integration of the Krylov Subspace Method in an Iterative Multi-User Detector for Time-Variant Channels

4. An Improved Speech Segmentation and Clustering Algorithm Based on SOM and K-Means

5. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

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1. Predicting Malware Classification and Family using Machine Learning: A Cuckoo Environment Approach with Automated Feature Selection;Procedia Computer Science;2024

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