Turnitin
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Speech resynthesis from discrete disentangled self-supervised representations
We propose using self-supervised discrete representations for the task of speech
resynthesis. To generate disentangled representation, we separately extract low-bitrate …
resynthesis. To generate disentangled representation, we separately extract low-bitrate …
LPCNet: Improving neural speech synthesis through linear prediction
Neural speech synthesis models have recently demonstrated the ability to synthesize high
quality speech for text-to-speech and compression applications. These new models often …
quality speech for text-to-speech and compression applications. These new models often …
Hifi-codec: Group-residual vector quantization for high fidelity audio codec
Audio codec models are widely used in audio communication as a crucial technique for
compressing audio into discrete representations. Nowadays, audio codec models are …
compressing audio into discrete representations. Nowadays, audio codec models are …
Audiodec: An open-source streaming high-fidelity neural audio codec
A good audio codec for live applications such as telecommunication is characterized by
three key properties:(1) compression, ie the bitrate that is required to transmit the signal …
three key properties:(1) compression, ie the bitrate that is required to transmit the signal …
ViSQOL v3: An open source production ready objective speech and audio metric
Estimation of perceptual quality in audio and speech is possible using a variety of methods.
The combined v3 release of ViSQOL and ViSQOLAudio (for speech and audio …
The combined v3 release of ViSQOL and ViSQOLAudio (for speech and audio …