Recognition of Isolated Digit Using Random Forest for Audio-Visual Speech Recognition-Reference-Cited by-同舟云学术

Recognition of Isolated Digit Using Random Forest for Audio-Visual Speech Recognition

Published:2020-11-13 Issue: Volume: Page:
ISSN:0369-8203
Container-title:Proceedings of the National Academy of Sciences, India Section A: Physical Sciences
language:en
Short-container-title:Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci.

Author:

Borde Prashant^ORCID,Kulkarni Sadanand,Gawali Bharti,Yannawar Pravin

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy

Link

http://link.springer.com/content/pdf/10.1007/s40010-020-00724-7.pdf

Reference26 articles.

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3. Neti C, Potamianos G, Luettin J, Matthews I, Glotin H, Vergyri D, Sison J, Mashari A (2000) Audio visual speech recognition. No. REP_WORK. IDIAP.

4. Heckmann M, Berthommier F (2002) Kroschel K (2002) Noise adaptive stream weighting in audio-visual speech recognition. EURASIP J Appl Signal Process 1:1260–1273

5. Gurbuz S, Patterson EK, Tufekci Z, Gowdy JN (2001) Lip-reading from parametric lip contours for audio-visual speech recognition. In: Seventh European conference on speech communication and technology, INTERSPEECH, pp 1181–-1184.

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