About: Deep learning speech synthesis

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Deep learning speech synthesis uses Deep Neural Networks (DNN) to produceartificial speech from text (text-to-speech) or spectrum (vocoder).The deep neural networks are trained using a large amount of recorded speech and, in the case ofa text-to-speech system, the associated labels and/or input text. Some DNN-based speech synthesizers are approaching the naturalness of the human voice.

Attributes	Values
rdf:type	Thing
rdfs:label	Deep learning speech synthesis (en)
rdfs:comment	Deep learning speech synthesis uses Deep Neural Networks (DNN) to produceartificial speech from text (text-to-speech) or spectrum (vocoder).The deep neural networks are trained using a large amount of recorded speech and, in the case ofa text-to-speech system, the associated labels and/or input text. Some DNN-based speech synthesizers are approaching the naturalness of the human voice. (en)
foaf:depiction
dcterms:subject	History of human–computer interaction Applications of artificial intelligence Speech synthesis Assistive technology Computational linguistics Auditory displays
Wikipage page ID	69432561 (xsd:integer)
Wikipage revision ID	1109339269 (xsd:integer)
Link from a Wikipage to another Wikipage	Mel scale Mila (research institute) DeepMind Deep neural network History of human–computer interaction Applications of artificial intelligence Speech synthesis Google Spectrogram Speech synthesis Assistive technology Facebook Knowledge distillation The Chaos Computational linguistics Auditory displays Nvidia Loss function Mel-frequency cepstrum Self-supervised learning WaveNet Spectrograms dbr:File:Larynx-HiFi-GAN_speech_sample.wav
Link from a Wikipage to an external page	https://keithito.com/LJ-Speech-Dataset/ https://mila.quebec/en/publication/char2wav-end-to-end-speech-synthesis/ https://arxiv.org/abs/1703.10135 https://arxiv.org/abs/1707.06588 https://arxiv.org/abs/1712.05884 https://arxiv.org/abs/2106.06103
sameAs	Deep learning speech synthesis Deep learning speech synthesis Deep learning speech synthesis
dbp:wikiPageUsesTemplate	dbt:Listen dbt:Reflist dbt:Short_description dbt:Speech_synthesis dbt:Machine_learning dbt:Differentiable_computing
thumbnail	wiki-commons:Special:FilePath/WaveNet_animation.gif?width=300
description	The Chaos synthesized by VITS, a research deep-learning-based end-to-end text-to-speech method, using the LJ Speech dataset. (en)
filename	The Chaos synthesized by VITS.ogg (en)
title	Synthesis example (en)
has abstract	Deep learning speech synthesis uses Deep Neural Networks (DNN) to produceartificial speech from text (text-to-speech) or spectrum (vocoder).The deep neural networks are trained using a large amount of recorded speech and, in the case ofa text-to-speech system, the associated labels and/or input text. Some DNN-based speech synthesizers are approaching the naturalness of the human voice. (en)
prov:wasDerivedFrom	wikipedia-en:Deep_learning_speech_synthesis?oldid=1109339269&ns=0
page length (characters) of wiki page	8331 (xsd:nonNegativeInteger)
sound recording	dbr:Deep_learning_speech_synthesis__Sound__1
foaf:isPrimaryTopicOf	wikipedia-en:Deep_learning_speech_synthesis
is Link from a Wikipage to another Wikipage of	Speech synthesis Neural speech synthesis WaveNet
is Wikipage redirect of	Neural speech synthesis
is foaf:primaryTopic of	wikipedia-en:Deep_learning_speech_synthesis

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