Papercup Engineering Blog

Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis

Things have been a little quiet on the blog in the last year, but we’re back and excited to share that Papercup will be presenting two papers at Interspeech 2021! You…

evaluation TTS speech

Tutorial on ADEPT evaluation: a step-by-step guide

This how-to guide will give step-by-step recommendations on how to set up an ADEPT evaluation using the ADEPT corpus. If you’d like to know more about the research…

speech TTS interspeech evaluation

ADEPT: A dataset for evaluating prosody transfer

We published two papers at Interspeech this year (hooray 🎉). The first, Ctrl-P provides interpretable, temporally-precise, and disentangled control of prosodic…

machine learning speech TTS interspeech

Highlights of INTERSPEECH 2020

First off, the organisers of INTERSPEECH 2020 have really outdone themselves with the first ever, fully remote INTERSPEECH this year. Of course, we all would have loved…

machine learning text to speech reinforcement learning

Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning

(Paper, Samples) Efforts towards incremental text to speech (TTS) systems have largely focused on traditional, non-neural architectures . As samples from neural TTS…

machine learning phonological features 0-shot TTS

Phonological Features for 0-shot Multilingual Speech Synthesis

So far, code-switching is only available in multilingual models When working with video in multiple languages, something we often have to deal with is a phenomenon…