Traditional topic identification solutions from audio rely on an automat...
The events of recent years have highlighted the importance of telemedici...
It is common knowledge that the quantity and quality of the training dat...
Public sources like parliament meeting recordings and transcripts provid...
The Donate Speech campaign has so far succeeded in gathering approximate...
This paper describes AaltoASR's speech recognition system for the INTERS...
Creating open-domain chatbots requires large amounts of conversational d...
End-to-end neural network models (E2E) have shown significant performanc...
Character-based Neural Network Language Models (NNLM) have the advantage...
In spoken Keyword Search, the query may contain out-of-vocabulary (OOV) ...
There are several approaches for improving neural machine translation fo...
Data-driven segmentation of words into subword units has been used in va...
For researching effects of gamification in foreign language learning for...
This paper describes the MeMAD project entry to the IWSLT Speech Transla...
This paper describes the MeMAD project entry to the WMT Multimodal Machi...
This article describes the Aalto University entry to the WMT18 News
Tran...
Today, the vocabulary size for language models in large vocabulary speec...
We present a new tool for training neural network language models (NNLMs...