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Phonetic-aware speaker embedding for far-field speaker verification
The intuition is that phonetic information can preserve low-level acoustic dynamics with speaker information and thus partly compensate for the degradation due to noise and reverberation.
Contrastive Speaker Embedding With Sequential Disentanglement
Contrastive speaker embedding assumes that the contrast between the positive and negative pairs of speech segments is attributed to speaker identity only.
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Self-supervised learning (SSL) speech models such as wav2vec and HuBERT have demonstrated state-of-the-art performance on automatic speech recognition (ASR) and proved to be extremely useful in low label-resource settings.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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