Classification of Stop Consonants using Modulation Spectrogram-Based Features-Reference-Cited by-同舟云学术

Classification of Stop Consonants using Modulation Spectrogram-Based Features

Published:2015 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Perception and Machine Intelligence - PerMIn '15
language:
Short-container-title:

Author:

Chittora Anshu,Patil Hemant A.,Malde Kewal D.

Publisher

ACM Press

Reference17 articles.

1. Ali, A. M. A., Spiegel, J. V. and Muller, P., "Robust classification of stop consonants using auditaory-based speech processing", Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Salt Lake City, UT, vol.1, pp.81--84, 2001.

2. Ali, A. M. A., Spiegel, J. V. and Muller, P., "Acoustic-phonetic features for the automatic classification of stop consonants", IEEE Trans. Speech and Audio Proc., vol. 9, no. 8, pp. 833--841, 2001.

3. Ali, A. M. A., Spiegel, J. V. and Muller, P., "Acoustic-phonetic features for the automatic recognition of stop consonants", J. Acoust. Soc. Am., vol. 103, no. 5, pp. 2777--2778, 1998.

4. Zheng, Y., Mark H. J., and Borys S., "Stop consonant classification by dynamic formant trajectory," In Proc. Int. Conf. on Speech and Language Proc. (ICSLP), Jeju Island, Korea, 2004.

5. Gidas, B.; Murua, A., "Classification and clustering of stop consonants via nonparametric transformations and wavelets," in Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Detroit, MI, vol.1, pp.872--875 May 1995.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Phoneme Recognition Using Interlaced Derivative Pattern and Co-occurrence Matrix Method;2021 2nd Asia Symposium on Signal Processing (ASSP);2021-11

2. Voice Pathology Detection Using Modulation Spectrum-Optimized Metrics;Frontiers in Bioengineering and Biotechnology;2016-01-20