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Found 6 papers, 1 papers with code
End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations
Conventional keyword search systems operate on automatic speech recognition (ASR) outputs, which causes them to have a complex indexing and search pipeline.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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End-to-End Open Vocabulary Keyword Search
Recently, neural approaches to spoken content retrieval have become popular.
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery
In the target language, we infer both the language and unit embeddings in an unsupervised manner, and in so doing, we simultaneously learn a subspace of units specific to that language and the units that dwell on it.
Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach
In order to utilize the large amount of unlabeled sign language resources, unsupervised learning methods are needed.
Convolutional Neural Networks for Financial Text Regression
Using word vectors increases the number of parameters.
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches
This paper describes our approach for SemEval-2017 Task 4: Sentiment Analysis in Twitter.
