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This paper presents our preliminary works on exploring unsupervised training of subspace gaussian mixture models for under-resourced CTS recognition task. The subspace model yields better performance than conventional GMM model, particularly in small or middle-sized training set. As an effective way to save human efforts, unsupervised learning is often applied to automatically transcribe a large amount...
When multiple video streams are delivered in wireless networks, careful rate allocation is desirable to share the available bandwidth without overflowing the whole network or any individual link, as well as to maximize the total received quality among the competing streams. This paper presents a distributed rate allocation for Rate Distortion (R-D) optimal multiple video streaming in a video- and...
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