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.

Property	Value
dbo: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)
dbo:soundRecording	dbr:Deep_learning_speech_synthesis__Sound__1
dbo:thumbnail	wiki-commons:Special:FilePath/WaveNet_animation.gif?width=300
dbo:wikiPageExternalLink	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
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dbo:wikiPageWikiLink	dbr:Mel_scale dbr:Mila_(research_institute) dbr:DeepMind dbr:Deep_neural_network dbc:History_of_human–computer_interaction dbc:Applications_of_artificial_intelligence dbc:Speech_synthesis dbr:Google dbr:Spectrogram dbr:Speech_synthesis dbc:Assistive_technology dbr:File:WaveNet_animation.gif dbr:Facebook dbr:Knowledge_distillation dbr:The_Chaos dbc:Computational_linguistics dbc:Auditory_displays dbr:Nvidia dbr:Loss_function dbr:Mel-frequency_cepstrum dbr:Self-supervised_learning dbr:WaveNet dbr:Spectrograms dbr:File:Larynx-HiFi-GAN_speech_sample.wav
dbp:description	The Chaos synthesized by VITS, a research deep-learning-based end-to-end text-to-speech method, using the LJ Speech dataset. (en)
dbp:filename	The Chaos synthesized by VITS.ogg (en)
dbp:title	Synthesis example (en)
dbp:wikiPageUsesTemplate	dbt:Listen dbt:Reflist dbt:Short_description dbt:Speech_synthesis dbt:Machine_learning dbt:Differentiable_computing
dcterms:subject	dbc:History_of_human–computer_interaction dbc:Applications_of_artificial_intelligence dbc:Speech_synthesis dbc:Assistive_technology dbc:Computational_linguistics dbc:Auditory_displays
rdf:type	owl:Thing
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)
rdfs:label	Deep learning speech synthesis (en)
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