Effect of Processing Combined MFCC and DSCC Features with QCN for Hindi Vowel Classification in Noisy Environments
-
Published:2018-08-02
Issue:
Volume:
Page:25-35
-
ISSN:1876-1100
-
Container-title:Nanoelectronics, Circuits and Communication Systems
-
language:
-
Short-container-title:
Author:
Shipra ,Chandra Mahesh
Publisher
Springer Singapore
Reference14 articles.
1. Biswas A, Sahu P, Bhowmick A, Chandra M (2015) AAM based features for multiple camera visual speech recognition in car environment. Procedia Comput Sci 57:614–621
2. Kaynak MN, Zhi Q, Cheok AD, Sengupta K, Jian Z, Chung KC (2004) Lip geometric features for human computer interaction using bimodal speech recognition: comparison and analysis. Speech Commun 43(1):1–16
3. Potamianos G, Neti C, Luettin J, Matthews I (2004) Audio visual automatic speech recognition: an overview. Issues Visual Audio-Visual Speech Process 22:23
4. Biawas A, Sahu P, Chandra M (2014) Admissible wavelet packet features based on human inner ear frequency response for Hindi consonant recognition. Comput Electr Eng 40(4):1111–1122
5. Farooq O, Datta S, Shrotriya MC (2010) Wavelet sub-band based temporal features for robust Hindi phoneme recognition. Int J Wavelets Multiresolut Inf Process 8:847–859