UniKW-AT: Unified Keyword Spotting and Audio Tagging

Understand

Within the audio research community and the industry, keyword spotting (KWS) and audio tagging (AT) are seen as two distinct tasks and research fields.

• However, from a technical point of view, both of these tasks are identical: they predict a label (keyword in KWS, sound event in AT) for some fixed-sized input audio segment.
• This work proposes UniKW-AT: An initial approach for jointly training both KWS and AT.
• UniKW-AT enhances the noise-robustness for KWS, while also being able to predict specific sound events and enabling conditional wake-ups on sound events.