activity
20162019
most citedCHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network

52 citations · 92 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL201952 cited

CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network

Vincent Wan, Chun-an Chan, Tom Kenter +2

The prosodic aspects of speech signals produced by current text-to-speech systems are typically averaged over training material, and as such lack the variety and liveliness found i…

cs.IR2018

Neural Networks for Information Retrieval

Tom Kenter, Alexey Borisov, Christophe Van Gysel +3

Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many approac…

cs.CL201740 cited

Attentive Memory Networks: Efficient Machine Reading for Conversational Search

Tom Kenter, Maarten de Rijke

Recent advances in conversational systems have changed the search paradigm. Traditionally, a user poses a query to a search engine that returns an answer based on its index, possib…

cs.IR2017

Neural Networks for Information Retrieval

Tom Kenter, Alexey Borisov, Christophe Van Gysel +3

Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many differe…

cs.CL2016

Siamese CBOW: Optimizing Word Embeddings for Sentence Representations

Tom Kenter, Alexey Borisov, Maarten de Rijke

We present the Siamese Continuous Bag of Words (Siamese CBOW) model, a neural network for efficient estimation of high-quality sentence embeddings. Averaging the embeddings of word…