Author:
Santos Lyndainês,de Araújo Moreira Nícolas,Sampaio Robson,Lima Raizielle,Oliveira Francisco Carlos Mattos Brito
Publisher
Springer Nature Switzerland
Reference14 articles.
1. Shavan, R.S., Sable, G.: An Overview of Speech Recognition Using HMM, pp. 233–238, June 2013
2. Ankit, K., Mohit, D., Tripti, C.: Continuous Hindi speech recognition using Gaussian mixture HMM. In: 2014 IEEE Students’ Conference on Electrical, Electronics and Computer Science, pp. 1–5 (2014). https://doi.org/10.1109/SCEECS.2014.6804519.
3. Aggarwal, R.K., Dave, M.: Discriminative techniques for Hindi speech recognition system. In: Singh, C., Singh Lehal, G., Sengupta, J., Sharma, D.V., Goyal, V. (eds.) Information Systems for Indian Languages. ICISIL 2011. CCIS, vol. 139, pp. 261–266. Springer, Berlin, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19403-0_45
4. Lee, A., Kawahara, T., Shikano, K.: Julius - an open source real-time large vocabulary recognition engine. In: Proceedings of the European Conference on Speech Communication and Technology (EUROSPEECH), pp. 1691–1694 (2001)
5. Shafiq, A., et al.: Voice recongition system design aspects for robotic car control. Int J. Comput. Sci. Netw. Secur. 19(1) (2019)