Automatic Language Identification Using Speech Rhythm Features for Multi-Lingual Speech Recognition
暂无分享,去创建一个
[1] Kshirod Sarmah,et al. GMM based Language Identification using MFCC and SDC Features , 2014 .
[2] Mohammad Ali Humayun,et al. Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning , 2019, Applied Sciences.
[3] Douglas A. Reynolds,et al. Deep Neural Network Approaches to Speaker and Language Recognition , 2015, IEEE Signal Processing Letters.
[4] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[5] Laurence White,et al. Calibrating rhythm: First language and second language studies , 2007, J. Phonetics.
[6] Cho Moon-Hwan,et al. Rhythm typology of Korean speech , 2004, Cognitive Processing.
[7] Ian McLoughlin,et al. LID-Senones and Their Statistics for Language Identification , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[8] F. Ramus,et al. Correlates of linguistic rhythm in the speech signal , 1999, Cognition.
[9] R. M. Dauer. Stress-timing and syllable-timing reanalyzed. , 1983 .
[10] Patrick Kenny,et al. Front-End Factor Analysis for Speaker Verification , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[11] Tara N. Sainath,et al. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups , 2012, IEEE Signal Processing Magazine.
[12] Shashidhar G. Koolagudi,et al. Identification of Language using Mel-Frequency Cepstral Coefficients (MFCC) , 2012 .