WaveNet

E39544

autoregressive model deep generative model neural network architecture text-to-speech model

WaveNet is a deep generative neural network architecture for raw audio that produces highly natural-sounding speech and other audio signals.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (3)

Label	Occurrences
WaveNet canonical	12
WaveNet: A Generative Model for Raw Audio	3
WaveNet voices	1

How this entity was disambiguated

This entity first appeared as the object of triple T307342 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: WaveNet
Context triple: [DeepMind, developed, WaveNet]

A. GPT-2
GPT-2 is a large transformer-based language model known for generating coherent, human-like text and sparking widespread discussion about the implications of advanced AI text generation.
B. GPT-3
GPT-3 is a large-scale autoregressive language model known for generating human-like text and performing a wide range of natural language tasks with minimal fine-tuning.
C. Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
D. DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
E. Google Brain
Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: WaveNet
Target entity description: WaveNet is a deep generative neural network architecture for raw audio that produces highly natural-sounding speech and other audio signals.

A. GPT-2
GPT-2 is a large transformer-based language model known for generating coherent, human-like text and sparking widespread discussion about the implications of advanced AI text generation.
B. GPT-3
GPT-3 is a large-scale autoregressive language model known for generating human-like text and performing a wide range of natural language tasks with minimal fine-tuning.
C. Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
D. DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
E. Google Brain
Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
F. None of above. chosen

Statements (51)

Predicate	Object
instanceOf	autoregressive model ⓘ deep generative model ⓘ neural network architecture ⓘ text-to-speech model ⓘ
application	music generation ⓘ neural vocoder for parametric TTS ⓘ voice conversion ⓘ
arxivId	1609.03499 ⓘ
basedOn	causal convolutional neural networks ⓘ
designedFor	audio signal modeling ⓘ raw audio generation ⓘ speech synthesis ⓘ
developedBy	DeepMind ⓘ DeepMind ⓘ surface form: Google DeepMind
hasProperty	high computational cost at inference ⓘ highly natural-sounding speech output ⓘ parallelization across time is limited by autoregressive structure ⓘ
improvedUpon	concatenative text-to-speech systems ⓘ parametric HMM-based TTS systems ⓘ
inputType	discretized audio waveform samples ⓘ
inspired	PixelCNN ⓘ
introducedBy	Aaron van den Oord ⓘ Alex Graves ⓘ Heiga Zen ⓘ Karen Simonyan ⓘ Nal Kalchbrenner ⓘ Oriol Vinyals ⓘ Sander Dieleman ⓘ
introducedIn	2016 ⓘ
introducedInPaper	WaveNet self-linksurface differs ⓘ surface form: WaveNet: A Generative Model for Raw Audio
language	Python ⓘ
ledTo	Parallel WaveNet ⓘ WaveGlow ⓘ WaveRNN ⓘ neural vocoder architectures ⓘ
outputType	probability distribution over next audio sample ⓘ
publishedAt	arXiv ⓘ
relatedTo	PixelRNN ⓘ autoregressive image models ⓘ
supports	general raw waveform modeling ⓘ music audio generation ⓘ speaker-conditioned speech synthesis ⓘ text-conditioned speech synthesis ⓘ
trainingObjective	cross-entropy loss over quantized samples ⓘ maximum likelihood estimation ⓘ
usedIn	Google Assistant ⓘ surface form: Google Assistant text-to-speech Google Cloud Text-to-Speech ⓘ
uses	autoregressive sample-by-sample prediction ⓘ conditional generative modeling ⓘ dilated causal convolutions ⓘ softmax output over quantized audio samples ⓘ

How these facts were elicited

Referenced by (16)

Full triples — surface form annotated when it differs from this entity's canonical label.

DeepMind → developed → WaveNet ⓘ

WaveNet → introducedInPaper → WaveNet self-linksurface differs ⓘ

this entity surface form: WaveNet: A Generative Model for Raw Audio

Heiga Zen → notableWork → WaveNet ⓘ

this entity surface form: WaveNet: A Generative Model for Raw Audio

Nal Kalchbrenner → notableWork → WaveNet ⓘ

Nal Kalchbrenner → coDeveloperOf → WaveNet ⓘ

WaveRNN → comparedTo → WaveNet ⓘ

WaveRNN → improvesOn → WaveNet ⓘ

WaveRNN → moreEfficientThan → WaveNet ⓘ

WaveGlow → basedOn → WaveNet ⓘ

WaveGlow → comparedWith → WaveNet ⓘ

Karen Simonyan → knownFor → WaveNet ⓘ

Google Cloud Text-to-Speech → supports → WaveNet ⓘ

this entity surface form: WaveNet voices

Parallel WaveNet → basedOn → WaveNet ⓘ

Aaron van den Oord → knownFor → WaveNet ⓘ

Aaron van den Oord → developed → WaveNet ⓘ

Aaron van den Oord → notableWork → WaveNet ⓘ

this entity surface form: WaveNet: A Generative Model for Raw Audio

All labels observed (3)

How this entity was disambiguated Show

Statements (51)

How these facts were elicited Show

Referenced by (16)

How this entity was disambiguated

How these facts were elicited