Author:
Salamea Christian,Cordoba Ricardo,D’Haro Luis,Romero David
Publisher
Springer International Publishing
Reference21 articles.
1. Muthusamy, Y., Barnard, E., Cole, A.: Reviewing automatic language identification. IEEE Signal Process. Mag. 11(4), 33–41 (1994)
2. D’Haro, L., Cordoba, R., Salamea, C., Echeverry, J.: Extended phone-likelihood ratio features and acoustic-based i-vectors for language recognition. In: Proceedings in Acoustics, Speech and Signal Processing, ICASSP, pp. 5342–5346 (2014)
3. Salamea, C., D’Haro, L., Córdoba, R., Caraballo, M.: Incorporation of discriminative ngrams to improve a phonotactic language recognizer based on i-vectors. Procesamiento del Lenguaje Natural 51, 145–152 (2013)
4. Mikolov, T., Karafiát, M., Burget, L., Cernock, J., Khudanpur, S.: Recurrent neural net- work based language model. Interspeech 2010, 1045–1048 (2010)
5. Brummer, N., et al.: Fusion of heterogeneous speaker recognition systems in the STBU submission for the NIST speaker recognition evaluation. IEEE Trans. Audio Speech Lang. Process. 15(7), 2072–2084 (2007)