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A Bidirectional Graphical Model for Babble-feedback ...
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由 MC Brady 著作2014被引用 2 次 — A theory of motor-feedback learning based on a bidirectional-edge graph is summarized. The graph is inspired as a model of the cortico-thalamic circuit.
A Bidirectional Graphical Model for Babble-feedback ...
ScienceDirect.com
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由 MC Brady 著作2014被引用 2 次 — This cerebellar model helps in coordinating the longer-term timing of network dynamics and helps to smoothly string together patterns of speech sounds through ...
A Bidirectional Graphical Model for Babble-feedback Learning in ...
ResearchGate
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A theory of motor-feedback learning based on a bidirectional-edge graph is summarized. The graph is inspired as a model of the cortico-thalamic circuit.
A Bidirectional Graphical Model for Babble-feedback Learning in ...
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AI Chat for scientific PDFs | SciSpace
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TL;DR: A theory of motor-feedback learning based on a bidirectional-edge graph that makes use of a bank of resonators intended to depict the functional role ...
Michael Connolly Brady
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A Bidirectional Graphical Model for Babble-Feedback Learning in Speech. MC Brady. Procedia Computer Science 41, 220-225, 2014. 2, 2014. A field-based artificial ...
Mamba in Speech: Towards an Alternative to Self-Attention
arXiv
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arXiv
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2024年5月24日 — Experiments suggest that a bidirectional design can enhance the capability of Mamba to model global dependencies within the features of a speech ...
Subtlety of Ambient-Language Effects in Babbling: A Study ...
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
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由 CC Lee 著作2017被引用 33 次 — Prior research on ambient-language effects in babbling has often suggested infants produce language-specific phonological features within the first year.
arXiv:2102.01192v2 [cs.CL] 9 Sep 2021
arXiv
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arXiv
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由 K Lakhotia 著作2021被引用 342 次 — This enables learning an LM from scratch without text, and use it to generate speech conditionally or unconditionally, essentially repli- cating ...
Contrastive Self-Supervised Speaker Embedding With ...
PolyU Institutional Research Archive
https://ira.lib.polyu.edu.hk
PolyU Institutional Research Archive
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由 Y Tu 著作2024被引用 5 次 — Abstract—Contrastive self-supervised learning has been widely used in speaker embedding to address the labeling challenge.
12 頁
LARGE LANGUAGE MODELS ARE EFFICIENT LEARN
OpenReview
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OpenReview
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由 Y Hu 著作被引用 15 次 — Bidirectional recurrent neural network language models for automatic speech recognition. ... Training language models to follow instructions with human feedback.