Vincent W. Neo

most citedUncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2023★ 1 cited

Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification

Simon W. McKnight, Aidan O. T. Hogg, Vincent W. Neo +1

This paper studies modulation spectrum features ( $Φ$ ) and mel-frequency cepstral coefficients ( $Ψ$ ) in joint speaker diarization and identification (JSID). JSID is important as spe…

cs.SD2023

Dual input neural networks for positional sound source localization

Eric Grinstein, Vincent W. Neo, Patrick A. Naylor

In many signal processing applications, metadata may be advantageously used in conjunction with a high dimensional signal to produce a desired output. In the case of classical Soun…