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Improving semi-supervised deep neural network for keyword search in low resource languages.

, , , , , , and . INTERSPEECH, page 1088-1091. ISCA, (2014)

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SNDCNN: Self-Normalizing Deep CNNs with Scaled Exponential Linear Units for Speech Recognition., , , , , and . ICASSP, page 6854-6858. IEEE, (2020)Web-Data Augmented Language Models for Mandarin Conversational Speech Recognition., , , , , and . ICASSP (1), page 589-592. IEEE, (2005)Towards Real-World Streaming Speech Translation for Code-Switched Speech., , , , , and . CoRR, (2023)Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization., , , , , , , , , and 1 other author(s). CoRR, (2023)Developing a Speech Activity Detection System for the DARPA RATS Program., , , , , , , and . INTERSPEECH, page 1969-1972. ISCA, (2012)Mandarin Word-Character Hybrid-Input Neural Network Language Model., , and . INTERSPEECH, page 625-628. ISCA, (2011)Region Dependent Transform on MLP Features for Speech Recognition., , , and . INTERSPEECH, page 221-224. ISCA, (2011)Unsupervised adaptation for deep neural network using linear least square method., , , , and . INTERSPEECH, page 2887-2891. ISCA, (2015)Jointly optimized discriminative features for speech recognition., , and . INTERSPEECH, page 2618-2621. ISCA, (2010)Progress on Mandarin conversational telephone speech recognition., , , , , , , , , and 2 other author(s). ISCSLP, page 1-4. IEEE, (2004)