Guide To VoxCeleb Datasets For Audio-Visual of Human Speech

VoxCeleb Dataset is developed by the VGG, Department of Engineering Science, University of Oxford. It contains over 1 million utterances for over 7,000 celebrities, extracted from videos uploaded to YouTube.
https://zcu.io/eRFX

#dataset #data-science #coding #machine-learning

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Guide To VoxCeleb Datasets For Audio-Visual of Human Speech

Inside ABCD, A Dataset To Build In-Depth Task-Oriented Dialogue Systems

According to a recent study, call centre agents’ spend approximately 82 percent of their total time looking at step-by-step guides, customer data, and knowledge base articles.

Traditionally, dialogue state tracking (DST) has served as a way to determine what a caller wants at a given point in a conversation. Unfortunately, these aspects are not accounted for in popular DST benchmarks. DST is the core part of a spoken dialogue system. It estimates the beliefs of possible user’s goals at every dialogue turn.

To reduce the burden on call centre agents and improve the SOTA of task-oriented dialogue systems, AI-powered customer service company ASAPP recently launched an action-based conversations dataset (ABCD). The dataset is designed to help develop task-oriented dialogue systems for customer service applications. ABCD consists of a fully labelled dataset with over 10,000 human dialogues containing 55 distinct user intents requiring sequences of actions constrained by company policies to accomplish tasks.

https://twitter.com/asapp/status/1397928363923177472

The dataset is currently available on GitHub.

#developers corner #asapp abcd dataset #asapp new dataset #build enterprise chatbot #chatbot datasets latest #customer support datasets #customer support model training #dataset for chatbots #dataset for customer datasets

Guide To VoxCeleb Datasets For Audio-Visual of Human Speech

VoxCeleb Dataset is developed by the VGG, Department of Engineering Science, University of Oxford. It contains over 1 million utterances for over 7,000 celebrities, extracted from videos uploaded to YouTube.
https://zcu.io/eRFX

#dataset #data-science #coding #machine-learning

Michael  Hamill

Michael Hamill

1616475000

Guide To VGG-SOUND Datasets For Visual-Audio Recognition

VGG-SOUND Datasets is Developed by VGG, Department of Engineering Science, University of Oxford, UK Audio VGGSound Dataset has set a benchmark for audio recognition with visuals. It contains more than 210 k videos with visual and audio. The dataset contains over 310 categorie and 550 hours of video. It is available to download for commercial/research purposes. The VGGSound dataset consists of each video and audio segment being 10 seconds long.

Andrew ZissermanAndrea Vedaldi is Principal Researchers of VGG(Visual Geometry Group). The VGG-Sound researcher Honglie Chen, Weidi XieAndrea Vedaldi and Andrew Zisserman are the core members of VGG, Department of Engineering Science, University of Oxford, UK, published on ICASSP, 2020.

#developers corner #audio #dataset #numpy #pandas #pytorch

Jamel  O'Reilly

Jamel O'Reilly

1625935200

Data Visualization Guide - Over Time Visuals

Data Visualization Guide - Over Time Visuals

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Arvel  Parker

Arvel Parker

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Visual Analytics and Advanced Data Visualization

Visual Analytics is the scientific visualization to emerge an idea to present data in such a way so that it could be easily determined by anyone.

It gives an idea to the human mind to directly interact with interactive visuals which could help in making decisions easy and fast.

Visual Analytics basically breaks the complex data in a simple way.

The human brain is fast and is built to process things faster. So Data visualization provides its way to make things easy for students, researchers, mathematicians, scientists e

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