Statements (112)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:microprocessor
gptkb:software_framework |
gptkbp:bfsLayer |
3
|
gptkbp:bfsParent |
gptkb:philosopher
|
gptkbp:applies_to |
speech synthesis
music generation audio generation |
gptkbp:based_on |
autoregressive model
|
gptkbp:can_create |
raw audio waveforms
human-like speech |
gptkbp:collaborated_with |
interdisciplinary projects
|
gptkbp:competes_with |
traditional text-to-speech systems
|
gptkbp:developed_by |
gptkb:philosopher
deep learning techniques |
gptkbp:enhances |
voice quality
|
gptkbp:has |
multiple layers
|
gptkbp:has_achievements |
state-of-the-art results
high-quality audio generation |
gptkbp:has_programs |
gptkb:studio
audiobooks virtual assistants music generation |
gptkbp:has_variants |
gptkb:Fast_Wave_Net
|
https://www.w3.org/2000/01/rdf-schema#label |
Wave Net
|
gptkbp:improves |
text-to-speech synthesis
speech quality |
gptkbp:introduced |
gptkb:2016
|
gptkbp:is |
open-source
computationally intensive state-of-the-art technology generative model a probabilistic model non-causal model a generative adversarial network (GAN) variant a model for artificial intelligence a model for audio analysis a model for audio classification a model for audio creativity a model for audio effects processing a model for audio engineering a model for audio enhancement a model for audio experimentation a model for audio innovation a model for audio processing a model for audio production a model for audio recognition a model for audio restoration a model for audio segmentation a model for audio synthesis a model for audio synthesis research a model for audio technology development a model for data-driven audio synthesis a model for deep learning a model for high-fidelity audio generation a model for interactive audio applications a model for machine learning a model for music synthesis a model for neural networks a model for real-time audio synthesis a model for sound design a model for sound generation a model for speech generation a model for voice synthesis a neural network architecture a sequence model a time-series model |
gptkbp:is_adopted_by |
various industries
|
gptkbp:is_analyzed_in |
performance improvements
|
gptkbp:is_available_in |
gptkb:studio
|
gptkbp:is_characterized_by |
sample-by-sample generation
|
gptkbp:is_cited_in |
numerous research papers
|
gptkbp:is_compared_to |
traditional text-to-speech systems
|
gptkbp:is_compatible_with |
various programming languages
|
gptkbp:is_considered |
revolutionize speech synthesis
|
gptkbp:is_considered_as |
a significant advancement in AI
breakthrough in speech synthesis |
gptkbp:is_enhanced_by |
parallel processing
|
gptkbp:is_evaluated_by |
audio quality metrics
mean opinion score |
gptkbp:is_explored_in |
gptkb:academic_research
language translation emotional speech synthesis |
gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
|
gptkbp:is_influenced_by |
recurrent neural networks
|
gptkbp:is_influential_in |
AI-driven audio technologies
|
gptkbp:is_integrated_with |
gptkb:computer
|
gptkbp:is_known_for |
natural sounding speech
|
gptkbp:is_optimized_for |
real-time applications
|
gptkbp:is_part_of |
gptkb:Artificial_Intelligence
Deep Mind's research portfolio |
gptkbp:is_recognized_by |
AI community
|
gptkbp:is_recognized_for |
its innovative architecture
|
gptkbp:is_related_to |
gptkb:software_framework
|
gptkbp:is_supported_by |
research funding
GP Us |
gptkbp:is_tested_for |
different languages
human listeners |
gptkbp:is_used_by |
gptkb:musician
|
gptkbp:is_used_for |
gptkb:Text-to-Speech
voice cloning text-to-speech synthesis generating audio |
gptkbp:is_utilized_in |
virtual assistants
audiovisual applications |
gptkbp:performance |
other neural network models
|
gptkbp:produced_by |
Audio
Human-like Speech |
gptkbp:requires |
large datasets
|
gptkbp:training |
raw audio waveforms
large datasets of audio |
gptkbp:uses |
dilated convolutions
|
gptkbp:utilizes |
convolutional neural networks
|