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03/29/2023
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval
Sketch-an-Anchor is a novel method to train state-of-the-art Zero-shot S...
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10/20/2022
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
Real world datasets contain incorrectly labeled instances that hamper th...
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03/29/2022
A single speaker is almost all you need for automatic speech recognition
We explore the use of speech synthesis and voice conversion applied to a...
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01/06/2022
Implementing simple spectral denoising for environmental audio recordings
This technical report details changes applied to a noise filter to facil...
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12/04/2021
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
YourTTS brings the power of a multilingual approach to the task of zero-...
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09/06/2021
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond
Training deep neural networks may be challenging in real world data. Usi...
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04/02/2021
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speak...
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05/11/2020
End-To-End Speech Synthesis Applied to Brazilian Portuguese
Voice synthesis systems are popular in different applications, such as p...
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01/28/2019
Generalization of feature embeddings transferred from different video anomaly detection domains
Detecting anomalous activity in video surveillance often involves using ...
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11/01/2018
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis
A feature learning task involves training models that are capable of inf...
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06/20/2018
Como funciona o Deep Learning
Deep Learning methods are currently the state-of-the-art in many problem...
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05/07/2018