LINKING AUDITORY SCENE ANALYSIS AND ROBUST ASR BY MISSING DATA TECHNIQUES
Jon Barker, Phil Green, Martin P. Cooke · 2024
this paper we briefly review the technique, and show how softening the decision about which regions are deemed to be reliable improves results. In the work reported up to this point, simple noise estimates have bee using to estimate local signalto noise ratio, and this estimate has been used to define the masks. We now introduce harmonicity constraints as an additional cue (motivated by auditory scene analysis [3, 7, 5]) for identifying sourcespecific regions. Results are reported on the AURORA task [14]. We also discuss the idea of `multi-source decoding', which generalises recognition algorithms for the case where initial grouping processes identify spectral temporal regions dominated by a single source but do not decide on the identity of the source.