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.
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.
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.
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.
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).
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.
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.
The demand for a quick, intelligent and natural-sounding conversation between human and machine is increasing.
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.
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.
data collection/ annotation services.
Country code + Phone Number
Phone number-e.g. +86 138315xxxxx
Country code + Phone Number
Phone number-e.g. +86 138315xxxxx
member, please fill in this form.
Country code + Phone Number
Phone number-e.g. +86 138315xxxxx
events, please fill in this form.
Country code + Phone Number
Phone number-e.g. +86 138315xxxxx
Country code + Phone Number
Phone number-e.g. +86 138315xxxxx
Country code + Phone Number
Phone number-e.g. +86 138315xxxxx
We will contact you as soon as possible.
closed in 3 seconds automatically.