machine learning

A collection of 8 posts

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…

  • 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…

  • Devang S Ram Mohan
    Devang S Ram Mohan
14 min read
machine learningphonological features0-shotTTS

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…

  • Marlene Staib
    Marlene Staib
9 min read
neural vocodersmachine learning

Subscale WaveRNN

You have read Efficient Neural Audio Synthesis aka the WaveRNN paper and would like to know more about how the subscale system works and how…

  • Lorenzo Foglianti
    Lorenzo Foglianti
12 min read
machine learningflowstutorial

Tutorial on normalizing flows, part 2

In this blog post, I am going to teach you how you can make super-duper cool GIFs. Isn’t that really the point of life anyway? I will assume…

  • Raphael Lenain
    Raphael Lenain
7 min read
machine learningbayesianneural nets

An introduction to (and puns on) Bayesian neural networks

Thomas Bayes’ tomb is located at the Bunhill fields next to the Old St Roundabout in London, less than a few hundred metres from our office…

  • Jiameng Gao
    Jiameng Gao
15 min read
machine learningflowstutorial

Tutorial on normalizing flows, part 1

Before we start, I would like to mention that this blog post assumes a familiarity with generative models and modern deep learning…

  • Raphael Lenain
    Raphael Lenain
7 min read