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Improving speech recognition using limited accent diverse British English training data with deep neural networks., , , and . MLSP, page 1-6. IEEE, (2016)Challenges for computer recognition of children2s speech., and . SLaTE, page 108-111. Carnegie Mellon University / ISCA, (2007)Toward a comprehensive vowel space for whispered speech., , and . ISCSLP, page 65-68. IEEE, (2010)Improved language recognition using mixture components statistics., , and . INTERSPEECH, page 741-744. ISCA, (2010)Applications of automatic speech recognition to speech and language development in young children., , , , , , and . ICSLP, ISCA, (1996)Models of speech dynamics in a segmental-HMM recognizer using intermediate linear representations., and . INTERSPEECH, ISCA, (2002)Computer and Human Recognition of Regional Accents of British English., , and . INTERSPEECH, page 729-732. ISCA, (2011)Implementing a Simple Continuous Speech Recognition System on an FPGA., , and . FCCM, page 275-276. IEEE Computer Society, (2002)Phone Classification Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs., , , , and . INTERSPEECH, page 319-323. ISCA, (2017)Phone Recognition Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs., , , and . INTERSPEECH, page 3753-3757. ISCA, (2018)