What is recorded here?
Learned raw-audio representations through a convolutional future-versus-negative contrastive objective and transferred them to supervised acoustic modeling.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Inherits contrastive predictive representation learning. Label savings do not remove unlabeled-data or downstream supervision requirements. Original wav2vec is distinct from masked/quantized wav2vec2 already formal.
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People and systems
Steffen Schneider; Alexei Baevski; Ronan Collobert; Michael Auli
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
wav2vec: convolutional contrastive audio pretraining for recognition
Learned raw-audio representations through a convolutional future-versus-negative contrastive objective and transferred them to supervised acoustic modeling.
Scientific scope
Inherits contrastive predictive representation learning. Label savings do not remove unlabeled-data or downstream supervision requirements. Original wav2vec is distinct from masked/quantized wav2vec2 already formal.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Steffen Schneider; Alexei Baevski; Ronan Collobert; Michael Auli
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.