Papercup Engineering Blog

machine learningspeechTTSinterspeechSSW

Highlights of SSW and INTERSPEECH 2021

We were so blessed to be able to attend INTERSPEECH in person this year! (Seriously - Czechia changed their covid laws literally the week before the conference began…

  • Papercup Machine Learning Team
    Papercup Machine Learning Team
17 min read

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…

  • Tian Huey Teh
    Tian Huey Teh
12 min read

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…

  • Alexandra Torresquintero
    Alexandra Torresquintero
8 min read

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…

  • Alexandra Torresquintero
    Alexandra Torresquintero
13 min read
machine learningspeechTTSinterspeech

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…

  • Papercup Machine Learning Team
    Papercup Machine Learning Team
12 min read
machine learningtext to speechreinforcement 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…

  • Devang S Ram Mohan
    Devang S Ram Mohan
14 min read