Search Results for author:
Found 4 papers, 1 papers with code
Transformer Language Models with LSTM-based Cross-utterance Information Representation
To encode the cross-utterance information, the R-TLM incorporates an LSTM module together with a segment-wise recurrence in some of the Transformer blocks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Content-Aware Speaker Embeddings for Speaker Diarisation
Recent speaker diarisation systems often convert variable length speech segments into fixed-length vector representations for speaker clustering, which are known as speaker embeddings.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Cross-Utterance Language Models with Acoustic Error Sampling
A cross-utterance LM (CULM) is proposed in this paper, which augments the input to a standard long short-term memory (LSTM) LM with a context vector derived from past and future utterances using an extraction network.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Combining Natural Gradient with Hessian Free Methods for Sequence Training
This paper presents a new optimisation approach to train Deep Neural Networks (DNNs) with discriminative sequence criteria.
