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LipNet

LipNet is a deep neural network for audio-visual speech recognition (ASVR). It was created by University of Oxford researchers Yannis Assael, Brendan Shillingford, Shimon Whiteson, and Nando de Freitas. The researchers stated that could match mouth movements to text with 93 percent accuracy, though it was criticized for its test using a limited dataset…

Standards & Overview

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Overview

Advanced semantic analysis

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Map overview Semantic statistics

LipNet

Nodes8
Edges7
Triples1
Avg. degree1.75
Density0.25
Components1

How this topic connects Entity context

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LipNet

Top relations

is a · 1
LipNet → deep neural network for audio-visual speech recognition

Important terminology Word statistics

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Important terminology

researchers deep neural network audio-visual speech recognition asvr created university oxford yannis assael brendan shillingford shimon whiteson nando de freitas

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
LipNetis adeep neural network for audio-visual speech recognition0.90text

Related concept clusters Concept neighborhoods

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    Min side: 3
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