Author:
Song Xiao,Cheng Qiang,Xing Jingping,Zou Yuexian
Reference16 articles.
1. Torres-Carrasquillo, P.A., Singer, E., Gleason, T., McCree, A., Reynolds, D.A., Richardson, F., Sturim, D.E.: The MITLL NIST LRE 2009 language recognition system. In: Acoustics Speech and Signal Processing (ICASSP) IEEE International Conference on 2010, pp. 4994–4997 (2010)
2. Gonzalez-Dominguez, J., Lopez-Moreno, I., Franco-Pedroso, J., Ramos, D., Toledano, D.T., Gonzalez-Rodriguez, J.: Multilevel and session variability compensated language recognition: ATVS-UAM systems at NIST LRE 2009. IEEE J. Sel. Top. Sig. Proc. 4(6), 1084–1093 (2010)
3. Ferrer, L., Scheffer, N., Shriberg, E.: A comparison of approaches for modeling prosodic features in speaker recognition. In: International Conference on Acoustics, Speech, and Signal Processing, pp. 4414–4417 (2010)
4. Martinez, D., Lleida, E., Ortega, A., Miguel, A.: Prosodic features and formant modeling for an ivectorbased language recognition system. In: Acoustics, Speech and Signal Processing (ICASSP) IEEE International Conference on 2013, pp. 6847–6851 (2013)
5. Dehak, N., Torres-Carrasquillo, P.A., Reynolds, D.A., Dehak, R.: Language recognition via i-vectors and dimensionality reduction. In: Interspeech ISCA, pp. 857–860 (2011)