5 accepted papers
Sound Source localization (SSL) using microphone arrays is an active research topic with many applications, but noise and reverberation make the direction-of-arrival (DOA) and distance estimation a challenging problem. In this work, we propose a novel method to jointly estimate the DOA and distance…
It is known that neural language models (NLMs) can implicitly learn certain linguistic information from text. While generally NLMs only use word feature input, the success of factored NLMs has indicated a benefit of using additional linguistic feature inputs for language modeling. On the other hand,…
Recurrent neural network language models (RNNLMs) have become very successful in many natural language processing tasks. However, RNNLMs trained with a cross entropy loss function and hard output targets are prone to overfitting, which weakens the language models’ generalization power. In the curren…
We propose to exploit the potential of multiple word clusterings in class-based recurrent neural network (RNN) language models for ensemble RNN language modeling. By varying the clustering criteria and the space of word embedding, different word clusterings are obtained to define different word/clas…
Vector Taylor Series (VTS) based model compensation approach has been successfully applied to various robust speech recognition tasks. In this paper, we propose a novel method of variable transformation to calculate the static statistics. In addition, we provide a detailed explanation of VTS and ran…