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Found 2 papers, 1 papers with code
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation
We use the representations with two downstream tasks, speaker identification, and phoneme classification.
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator
User-machine interaction is crucial for information retrieval, especially for spoken content retrieval, because spoken content is difficult to browse, and speech recognition has a high degree of uncertainty.
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