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Found 4 papers, 2 papers with code
Speaker activity driven neural speech extraction
Target speech extraction, which extracts the speech of a target speaker in a mixture given auxiliary speaker clues, has recently received increased interest.
Integration of variational autoencoder and spatial clustering for adaptive multi-channel neural speech separation
In this paper, we propose a method combining variational autoencoder model of speech with a spatial clustering approach for multi-channel speech separation.
Audio and Speech Processing
Jointly Trained Transformers models for Spoken Language Translation
Conventional spoken language translation (SLT) systems are pipeline based systems, where we have an Automatic Speech Recognition (ASR) system to convert the modality of source from speech to text and a Machine Translation (MT) systems to translate source text to text in target language.
Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam
First, we propose a time-domain implementation of SpeakerBeam similar to that proposed for a time-domain audio separation network (TasNet), which has achieved state-of-the-art performance for speech separation.
