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Found 5 papers, 4 papers with code
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
We present the visually-grounded language modelling track that was introduced in the Zero-Resource Speech challenge, 2021 edition, 2nd round.
Discrete representations in neural models of spoken language
The distributed and continuous representations used by neural networks are at odds with representations employed in linguistics, which are typically symbolic.
Textual Supervision for Visually Grounded Spoken Language Understanding
Visually-grounded models of spoken language understanding extract semantic information directly from speech, without relying on transcriptions.
Analyzing analytical methods: The case of phonology in neural models of spoken language
Given the fast development of analysis techniques for NLP and speech processing systems, few systematic studies have been conducted to compare the strengths and weaknesses of each method.
Few-shot learning with attention-based sequence-to-sequence models
End-to-end approaches have recently become popular as a means of simplifying the training and deployment of speech recognition systems.
