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What Conversational Data Play in the Future of Online Conferencing?

Over two years into the pandemic, a lot of things have changed in the remote work landscape. As more jobs move to remote settings than ever before, the communication between coworkers and customers has shifted to that realm as well. With that shift comes a new set of trials and tribulations that didn’t exist in face-to-face meetings.

22
May
16
How to Start Your Machine Learning Projects with MagicData-RAMC?

As a collection of high quality and richly annotated training data, MagicData-RAMC is applicable to a series of research. This article will introduce 3 experiments related to speech recognition, speaker diarization and keyword search based on MagicData-RAMC conducted by Magic Data, together with the Institute of Acoustics, Chinese Academy of Sciences, Shanghai Jiao Tong University and Northwestern Polytechnic University.

22
Apr
26
Open-source MagicData-RAMC: 180-hour Conversational Speech Dataset in Mandarin Released

MagicHub, an open-source community for AI, releases 180-hour conversational speech dataset in Mandarin for free, enriching the open source speech corpus and promoting the development of spoken language processing technology and conversational AI.

22
Apr
18
Magic Data Launches Conversational AI Datasets for Machine Learning

Magic Data launches an accumulation of more than 200,000 hours of training datasets, including 140,000 hours of conversational AI training datasets and 60,000 hours of read speech datasets, covering Asian languages, English dialects, and European languages, boosting the rapid development of human-computer interaction in artificial intelligence.

22
Feb
16
Moving Toward the Globe | Magic Data Builds Partnership with AWS, Empowering AI Data Processing

Recently, Magic Data officially become one of AWS’s ISV partners after Annotator® 5.0, an AI-assisted data labeling platform passing the ASW foundation technology Review (FTR).

21
Nov
26
Data Security and Compliance in Deploying AI — Magic Data’s Data Security Commitment

The importance of data security has been increasingly realized, no matter it is in national or personal level. Always putting data security at the first priority, Magic Data designs and applies a strict data protection mechanism so as to provide sufficient trusted AI training data for the industry.

21
Nov
11
How to Improve Multilingual Speech Recognition Performance? In View of Acoustic Modeling

The code-mixing phenomenon brings much challenges to the automatic speech recognition system development. How to develop a reliable multilingual speech recognition system have become a heated topic within the industry.

21
Oct
27
What is Conversational AI? And the challenge

The demand for a quick, intelligent and natural-sounding conversation between human and machine is increasing.

21
Oct
14
Massive High-Quality AI Training Data Makes HMI More Intelligent, More Humanized and More Personalized

The 3rd China Automotive Intelligent Summit 2021, took place on 27-28, Sept. 2021, Shanghai, gathers about 120 experts and executives from the automotive industry to focus on the networked technology, software development, hardware innovation, business model and user insight of intelligent cockpit, and provide an in-depth comprehensive analysis of the opportunities and challenges of intelligent cockpit development.

21
Sep
28
Annotator® 5.0 Data Labeling Platform Empowers the AI Industry in Data Labeling

As AI research and development is moving forward both in depth and breadth, the needs for structured data grow explosively. Meanwhile, the data labeling industry is undergoing decentralization: production of structured data is shifting from large-scale third party data processing centers to scattered data end-users.

21
Sep
03
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