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Graph-based re-ranking using acoustic feature similarity between search results for spoken term detection on low-resource languages.

, , , and . INTERSPEECH, page 2479-2483. ISCA, (2014)

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Personalizing universal recurrent neural network language model with user characteristic features by social network crowdsourcing., , and . ASRU, page 84-91. IEEE, (2015)Towards Audio to Scene Image Synthesis Using Generative Adversarial Network., , and . ICASSP, page 496-500. IEEE, (2019)Meta Learning for End-to-End Low-Resource Speech Recognition., , and . CoRR, (2019)Abstractive headline generation for spoken content by attentive recurrent neural networks with ASR error modeling., , and . SLT, page 151-157. IEEE, (2016)Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech., , and . CoRR, (2018)Noise Adaptive Speech Enhancement using Domain Adversarial Training., , , and . CoRR, (2018)What does a network layer hear? Analyzing hidden representations of end-to-end ASR through speech synthesis., , and . CoRR, (2019)Utterance-level latent topic transition modeling for spoken documents and its application in automatic summarization., , and . ICASSP, page 5065-5068. IEEE, (2012)Unsupervised domain adaptation for spoken document summarization with structured support vector machine., , , and . ICASSP, page 8347-8351. IEEE, (2013)MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing., , , and . CoRR, (2019)