27 citations · 37 across the 5 of their papers we have counts for
6 papers
Generative Pretraining for Paraphrase Evaluation
Jack Weston, Raphael Lenain, Udeepa Meepegama +1
We introduce ParaBLEU, a paraphrase representation learning model and evaluation metric for text generation. Unlike previous approaches, ParaBLEU learns to understand paraphrasis u…
Learning De-identified Representations of Prosody from Raw Audio
Jack Weston, Raphael Lenain, Udeepa Meepegama +1
We propose a method for learning de-identified prosody representations from raw audio using a contrastive self-supervised signal. Whereas prior work has relied on conditioning mode…
Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning
Devang S Ram Mohan, Raphael Lenain, Lorenzo Foglianti +4
Modern approaches to text to speech require the entire input character sequence to be processed before any audio is synthesised. This latency limits the suitability of such models…
Phonological Features for 0-shot Multilingual Speech Synthesis
Marlene Staib, Tian Huey Teh, Alexandra Torresquintero +4
Code-switching---the intra-utterance use of multiple languages---is prevalent across the world. Within text-to-speech (TTS), multilingual models have been found to enable code-swit…
BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages
Abhishek Shivkumar, Jack Weston, Raphael Lenain +1
We introduce BlaBla, an open-source Python library for extracting linguistic features with proven clinical relevance to neurological and psychiatric diseases across many languages.…
Surfboard: Audio Feature Extraction for Modern Machine Learning
Raphael Lenain, Jack Weston, Abhishek Shivkumar +1
We introduce Surfboard, an open-source Python library for extracting audio features with application to the medical domain. Surfboard is written with the aim of addressing pain poi…