Zobrazeno 1 - 10
of 16
pro vyhledávání: '"K. Jeeva Priya"'
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:316-321
The paper focuses on usage of deep neural networks for converting a person’s voice to another person’s voice, analogous to a mimic. The work in this paper introduces the concept of neural networks and deploys multi-layer deep neural networks for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8112e98321d4e8e1c54421c1d94bfc1a
https://doi.org/10.1166/jctn.2020.8668
https://doi.org/10.1166/jctn.2020.8668
Autor:
Radhika Rajeev Nair, K. Jeeva Priya, Mayuka Srinivasan, Karra Venkata Lakshmi Sri, Deepa Gupta
Publikováno v:
Procedia Computer Science. 171:2476-2485
This paper discusses an automatic speech recognition (ASR) system in Hindi. The language models and acoustic models are built using the open source toolkit Kaldi. A significant portion of the corpus built for this work pertains to the medical domain,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac4f2cc0b8d1d433891ccf886bff53f4
https://doi.org/10.1016/j.procs.2020.04.268
https://doi.org/10.1016/j.procs.2020.04.268
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9783030372170
Automatic Speech segmentation is a technique to segment the speech signals automatically into phonemes or syllables which form the basic units of speech. This plays an important role in automatic speech recognition (ASR) systems. In this work, we hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a602ef63aaa74bf88181f6706c6bdd8f
https://doi.org/10.1007/978-3-030-37218-7_140
https://doi.org/10.1007/978-3-030-37218-7_140
Publikováno v:
2019 International Conference on Communication and Signal Processing (ICCSP).
This paper describes a comparative study of continuous live speech recognition for selected commonly used words and phrase in the Kannada language using the HTK Toolkit, Julia Script, and the Julius live speech recognition engine. The feature vectors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7a60bd1de1c9e8f5f48f6221a465cb2
https://doi.org/10.1109/iccsp.2019.8698039
https://doi.org/10.1109/iccsp.2019.8698039
Publikováno v:
2019 3rd International Conference on Computing Methodologies and Communication (ICCMC).
Automatic Speech recognition (ASR) is widely gaining momentum worldwide, to be used as a part of Human Computer Interface and also in a wide variety of commercial applications. In Indian context, commercial applications using automatic speech recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf1000c86987c08e68a1ee9bb7aae7ff
https://doi.org/10.1109/iccmc.2019.8819747
https://doi.org/10.1109/iccmc.2019.8819747
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811358012
This paper discusses recognition of digits in Kannada language using an open-source speech recognition tool, Kaldi. The system considers small digit corpora with numbers ranging from 0 to 9 and 4480 samples with a set of fourteen speakers. The monoph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::234e1ece88fc315b357cec03cd656536
https://doi.org/10.1007/978-981-13-5802-9_71
https://doi.org/10.1007/978-981-13-5802-9_71
Publikováno v:
ICACCI
This paper describes a speech recognition system for the South Indian language, Kannada using Kaldi toolkit. KALDI is a open source toolkit based on Finite State Transducers (FST's). Two speech data sets has been collected from 10 different speakers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb640a0bf1b9c5a4904eefb9b49d364f
https://doi.org/10.1109/icacci.2018.8554586
https://doi.org/10.1109/icacci.2018.8554586
Publikováno v:
2018 International Conference on Communication and Signal Processing (ICCSP).
This paper aims to build an automatic speech recognition system (ASR) to recognize Kannada words spoken continuously, using an open source speech recognition tool, HTK. With a focus on tourism application, a speaker independent, mid-sized vocabulary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd647db629fcbf725a3b71b652cc78a
https://doi.org/10.1109/iccsp.2018.8524192
https://doi.org/10.1109/iccsp.2018.8524192
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811068744
This paper aims to discuss the development of an isolated word recognizer for the Indian language Kannada. The word recognizer is built using HTK, which is based on HMM. The system is trained using triphone HMMs for Kannada words in open space enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72df1d20dd7108cb7245686d9cb3e324
https://doi.org/10.1007/978-981-10-6875-1_19
https://doi.org/10.1007/978-981-10-6875-1_19
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