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Projects

1 125 projects (0,12s)

Project

A Unified 3D Map Representation (GX23-07973X)

3D scene representations, or 3D maps, are a key component of any type that can be traced to the fact that mapping algorithms and scene representations-invented for each map representation. This project proposes an unified m...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023 - 2027
  • 40 073 tis. Kč
  • 40 073 tis. Kč
  • GA ČR
Project

Neural Representations in Multi-modal and Multi-lingual Modeling (GX19-26934X)

of such representations is insufficient. NEUREM3 has the ambition to fill this gap and to study neural representations for speech and text units of different scopes (from phonemes and letters machine learning methods are b...

Linguistics

  • 2019 - 2023
  • 47 431 tis. Kč
  • 47 431 tis. Kč
  • GA ČR
Project

Linguistic Structure Representation in Neural Networks (GA18-02196S)

methods based on deep neural networks. These methods now dominate in most, or speech recognition. Neural networks solving these tasks very rarely use linguistic annotations. The aim of this project is to analyze and describe the

Linguistics

  • 2018 - 2020
  • 2 989 tis. Kč
  • 2 577 tis. Kč
  • GA ČR
Project

New concept of speech modelling using cepstral representation and neural nets (OC 258.10)

The aim of the project is text-to-speech conversion by spectral modelling of speech units extracted from natural speech. The speech models are realized using a digital filter implementing the approximate inverse cepstral transform. A part of the proj...

JD - Využití počítačů, robotika a její aplikace

  • 1997 - 2001
  • 3 897 tis. Kč
  • 1 530 tis. Kč
  • MŠMT
Project

Generative Relational Models (GJ20-19104Y)

with the representation learning capabilities of neural networks. The third part is the framework of the framework of neural Markov logic networks that we propose in order to combine of lifted relational neural ne...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020 - 2023
  • 7 082 tis. Kč
  • 7 082 tis. Kč
  • GA ČR
Project

Identification and Prevention of Unwanted Gender Bias in Neural Language Models (GA23-06912S)

Recent years saw a remarkable success of deep neural networks in a wide range). Large neural networks exhibit black-box behavior. We can observe only the inputs, a widely used neural network in NLP. We will analyze Transfor...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023 - 2024
  • 1 721 tis. Kč
  • 1 721 tis. Kč
  • GA ČR
Project

Literary Communication in the Light of "Medium" (GA16-11101S)

concept in the older philosophical conceptions of communication and representation of the implicit presence of the medium concept in the semiotics of literature and culture or deconstructionist philosophy will be assessed, where no...

AJ - Písemnictví, mas–media, audiovize

  • 2016 - 2020
  • 3 363 tis. Kč
  • 3 096 tis. Kč
  • GA ČR
Project

Neuroinformatics computational theory of neural networks (IAB2030007)

of neural networks. One of its main objectives is to analyze the computational aspects of practically important neural network models. Along this line the computational and descriptive power of analog-state discrete- and continuous...

BD - Teorie informace

  • 2000 - 2002
  • 1 381 tis. Kč
  • 876 tis. Kč
  • AV ČR
Project

Fully Trainable Deep Neural Network Based Czech Text-to-Speech Synthesis (GA19-19324S)

on WaveNet, a powerful convolutional deep neural network (DNN) for generating high contexts will be used as an intermediate representation between the input text and/or prosodic representation will be proposed. Beside the ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019 - 2022
  • 6 037 tis. Kč
  • 5 698 tis. Kč
  • GA ČR
Project

Hybrid neural network architectures for image recognition (GA24-10069S)

Current convolutional networks work with inefficient pixel-wise image representation, which does not provide almost any invariance. This leads to using very large training sets and massive augmentation. We propose to decompose intra-class va...

Robotics and automatic control

  • 2024 - 2026
  • 9 984 tis. Kč
  • 9 984 tis. Kč
  • GA ČR
  • 1 - 10 out of 1 125