Examples of human-based ground truth versus machine-based responses for Q4.
|Human-based ground truth
|The applications of the Neural Beamforming Front-End described in the paper include real-time audio signal enhancement for human-computer interaction, telecommunication, web conferencing, and pro-audio applications.
|The applications of high fidelity speech regeneration with application to speech enhancement include speech enhancement for better communication and collaboration, particularly in the context of physical distancing during the COVID-19 pandemic.
|Podcasts, video voice-overs, and audiobooks that require studio-quality audio with full bandwidth and balanced equalization (EQ)
|The applications of signal processing to audio and acoustics discussed in the paper are focused on speech enhancement, specifically improving the quality of real-world consumer-grade recordings to sound like studio recordings. This can be beneficial for various content creation tasks such as podcasts, video voice-overs, and audiobooks.
|Law-enforcement related audio recordings where it’s difficult to understand the speech of one specific speaker amongst all the others
|The applications mentioned in the text are related to law enforcement and investigations involving audio recordings.
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