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Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages., , , , , and . INTERSPEECH, page 3660-3664. ISCA, (2015)Multi-Language Neural Network Language Models., , , , and . INTERSPEECH, page 3042-3046. ISCA, (2016)Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED., , , and . SLTU, page 16-23. ISCA, (2014)Improving multiple-crowd-sourced transcriptions using a speech recogniser., , , and . ICASSP, page 4709-4713. IEEE, (2015)A language space representation for speech recognition., , and . ICASSP, page 4634-4638. IEEE, (2015)Log-Linear System Combination Using Structured Support Vector Machines., , , and . INTERSPEECH, page 1898-1902. ISCA, (2016)Multilingual representations for low resource speech recognition and keyword search., , , , , , , , , and 9 other author(s). ASRU, page 259-266. IEEE, (2015)Automatically grading learners' English using a Gaussian process., , and . SLaTE, page 7-12. ISCA, (2015)Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages., , , and . INTERSPEECH, page 835-839. ISCA, (2014)Automatic Grammatical Error Detection of Non-native Spoken Learner English., , , and . ICASSP, page 8127-8131. IEEE, (2019)