![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
A Dialectal Chinese Speech Recognition Framework
A framework for dialectal Chinese speech recognition is proposed and studied, in which a relatively small dialectal Chinese (or in other words Chinese influenced by the native dialect) speech corpus and dialec...
-
Article
Statistical word sense aware topic models
LDA has been proved effective in modeling the semantic relation between surface words. This semantic information in the document collection is useful to measure the topic distribution for a document. In genera...
-
Article
Open AccessNoisy training for deep neural networks in speech recognition
Deep neural networks (DNNs) have gained remarkable success in speech recognition, partially attributed to the flexibility of DNN models in learning complex patterns of speech signals. This flexibility, however...
-
Article
Probabilistic Belief Embedding for Large-Scale Knowledge Population
To populate knowledge repositories, such as WordNet, Freebase and NELL, two branches of research have grown separately for decades. On the one hand, corpus-based methods which leverage unstructured free texts ...