The development of jReporter started in 2010, under the code name iSMARTer. The following video demonstrates a small fraction of the thousands of hours of coding, testing and debugging…
2022
July
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jReporter: A Smart Voice-Recording Mobile Application
User Generated Content (UGC) and Citizen Journalism, as well as the constant rise of the use of web for publishing changes the whole landscape of content creating and publishing. Crowdsourcing is part of the practices of the biggest news organizations. Great advances of content creation do not concern solely the utilization of resources created and provided by non-professional users. Mobile Journalism (MoJo) is an emerging field, finding applications mostly in live reporting and breaking news. Journalists tend to make use of the sensor and connectivity capabilities of smart mobile devices, in a similar way citizens do in citizen journalism. Modern devices provide effective packaging of cameras and microphones, as well as global positioning sensors for geographical localization, accelerometers and gyroscopes to monitor the movement and direction of the device. The main target of this work is the investigation and design for automating techniques that can assist on detecting and correcting common audio recording issues. These techniques are embedded in mobile software applications and should be exploited for semi-professional use, enabling audio recording of adequate quality without requiring special equipment or operators.
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jReporter’s Stereo Semantic Audio Analysis
Preliminary evaluation results for the pattern recognition module are very promising, and as jReporter is a product based purely on software, it facilitates upgrades in the future. Semantic analysis unit provides adequate accuracy but more sophisticated classification algorithms can be implemented in order to boost performance.
A dual-channel semantic analysis workflow, which will bring spatial -stereo- semantic analysis is currently under development. This new feature can perform really well when combined with stereo microphones, like Zoom IQ6 and IQ7. Additionally, more types of smartphone-targeted microphones (like Rode VideoMic) can be tested and be recommended for SoundMaster.
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Behind the scenes of MoJo Mate’s semantic analysis unit
This morning I was wondering how to effectively demonstrate the intelligent sound analysis feature of SoundMaster… After experimenting on various setups, I think that the video capture is finished! Just wait some time for the final one to be ready; get a behind-the-scenes excerpt:
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