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Found 4 papers, 1 papers with code
Functional Linear Regression with Mixed Predictors
We derive finite sample theoretical guarantees and show that the excess prediction risk of our estimator is minimax optimal.
Statistics Theory Methodology Statistics Theory
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches
However, its performance is often inferior to that of a blind source separation (BSS) counterpart with a similar network architecture, due to the auxiliary speaker encoder may sometimes generate ambiguous speaker embeddings.
Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction
Dominant researches adopt supervised training for speaker extraction, while the scarcity of ideally clean corpus and channel mismatch problem are rarely considered.
Probing Deep Speaker Embeddings for Speaker-related Tasks
Results show that all deep embeddings encoded channel and content information in addition to speaker identity, but the extent could vary and their performance on speaker-related tasks can be tremendously different: ECAPA-TDNN is dominant in discriminative tasks, and d-vector leads the guiding tasks, while regulating task is less sensitive to the choice of speaker representations.
