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Found 5 papers, 0 papers with code
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
CoVoMix is capable of first converting dialogue text into multiple streams of discrete tokens, with each token stream representing semantic information for individual talkers.
Single-channel speech separation using Soft-minimum Permutation Invariant Training
A long-lasting problem in supervised speech separation is finding the correct label for each separated speech signal, referred to as label permutation ambiguity.
Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition
The speaker conditioning process allows the acoustic model to perform computation in the context of target-speaker auxiliary information.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network
Most current speech technology systems are designed to operate well even in the presence of multiple active speakers.
Probabilistic Permutation Invariant Training for Speech Separation
Recently proposed Permutation Invariant Training (PIT) addresses this problem by determining the output-label assignment which minimizes the separation error.
