Art
J-GLOBAL ID:202102284243299578   Reference number:21A0632617

Restricted Boltzmann Machine Vectors for Speaker Clustering and Tracking Tasks in TV Broadcast Shows

TV放送ショーにおける話者クラスタリングとトラッキングタスクのための制限されたBoltzmannマシンベクトル【JST・京大機械翻訳】
Author (3):
Material:
Volume:Issue: 13  Page: 2761  Publication year: 2019 
JST Material Number: U7135A  ISSN: 2076-3417  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
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Restricted Boltzmann Machines ...
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
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JST classification (2):
JST classification
Category name(code) classified by JST.
Pattern recognition  ,  Speach processing 
Reference (45):
  • Lei, Y.; Scheffer, N.; Ferrer, L.; McLaren, M. A novel scheme for speaker recognition using a phonetically-aware deep neural network. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 4-9 May 2014; pp. 1695-1699.
  • Richardson, F.; Reynolds, D.; Dehak, N. Deep neural network approaches to speaker and language recognition. IEEE Signal Process. Lett. 2015, 22, 1671-1675.
  • Chen, K.; Salman, A. Learning speaker-specific characteristics with a deep neural architecture. IEEE Trans. Neural Netw. 2011, 22, 1744-1756.
  • Kenny, P.; Gupta, V.; Stafylakis, T.; Ouellet, P.; Alam, J. Deep neural networks for extracting baum-welch statistics for speaker recognition. Proc. Odyssey 2014, 293-298. Available online: https://www.isca-speech.org/archive/odyssey_2014/pdfs/28.pdf (accessed on 8 July 2019).
  • Liu, Y.; Qian, Y.; Chen, N.; Fu, T.; Zhang, Y.; Yu, K. Deep feature for text-dependent speaker verification. Speech Commun. 2015, 73, 1-13.
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