SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

2 code implementations • 2 Apr 2021 • Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos de Oliveira, Arnaldo Candido Junior, Anderson da Silva Soares, Sandra Maria Aluisio, Moacir Antonelli Ponti

In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model that improves similarity for speakers unseen during training.

Data Poisoning Attacks on Regression Learning and Corresponding Defenses

2 code implementations • 15 Sep 2020 • Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger

Adversarial data poisoning is an effective attack against machine learning and threatens model integrity by introducing poisoned data into the training dataset.

Data Poisoning regression

Identifying Mislabeled Instances in Classification Datasets

2 code implementations • 11 Dec 2019 • Nicolas Michael Müller, Karla Markert

We evaluate our system quantitatively by adding a small number of label noise to 29 datasets, and show that we find mislabeled instances with an average precision of more than 0. 84 when reviewing our system's top 1\% recommendation.

Classification General Classification