Search Results for author: James Rae

Found 2 papers, 0 papers with code

Resource-constrained stereo singing voice cancellation

no code implementations22 Jan 2024 Clara Borrelli, James Rae, Dogac Basaran, Matt Mcvicar, Mehrez Souden, Matthias Mauch

We study the problem of stereo singing voice cancellation, a subtask of music source separation, whose goal is to estimate an instrumental background from a stereo mix.

Music Source Separation Speech Separation

Generalizable Error Modeling for Search Relevance Data Annotation Tasks

no code implementations8 Oct 2023 Heinrich Peters, Alireza Hashemi, James Rae

This paper presents a predictive error model trained to detect potential errors in search relevance annotation tasks for three industry-scale ML applications (music streaming, video streaming, and mobile apps) and assesses its potential to enhance the quality and efficiency of the data annotation process.

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