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WaveNet is a deep
neural network for
generating raw audio. It was
created by
researchers at London-based AI firm DeepMind. The technique,
outlined in...
- Text-to-Speech,
based on
WaveNet. In 2018,
DeepMind introduced a more
efficient model called WaveRNN co-developed with
Google AI. In 2020
WaveNetEQ, a
packet loss...
-
speech from
acoustic features. The
WaveNet model proposed in 2016
achieves excellent performance on
speech quality.
Wavenet factorised the
joint probability...
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NSynth (a
portmanteau of "Neural Synthesis") is a
WaveNet-based
autoencoder for
synthesizing audio,
outlined in a
paper in
April 2017. The
model generates...
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provide voice-reply functionality.
Google Cloud Text-to-Speech is
powered by
WaveNet,
software created by Google's UK-based AI
subsidiary DeepMind,
which was...
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dollars for each
cabinet using the hardware. Williams' plan was to use
WaveNet to
upload new
games and game updates,
which they
would provide to arcade...
-
learning approaches. In 2016, DeepMind's
publication of the
seminal paper WaveNet: A
Generative Model for Raw
Audio marked a
pivotal shift toward neural...
- A.; Skoglund, J.; Stimberg, F.; Wang, Q.; Walters, T. C. (April 2018).
Wavenet based low rate
speech coding. 2018 IEEE
international conference on acoustics...
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received funding through stage 1 of the
Wave Energy Scotland Novel Wave Energy Converter programme for
their WaveNET Series-12. They did not
progress to stage...
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against each
other to
create realistic audio.
Other architectures include WaveNet,
which uses
dilated causal convolutions to
model raw
audio waveforms, and...
