The article focuses on the impact of batch size on pre-training in self-supervised speech representation learning. The study uses varying batch sizes and observes that larger batch sizes result in…
Continue readingThe article discusses the need for objective metrics in evaluating speech generation. The authors propose new reference-aware evaluation methods, SpeechBERTScore, SpeechBLEU, and SpeechTokenDistance, which are inspired by evaluation metrics in…
Continue readingThe research focuses on the match-mismatch classification with EEG recording using self-supervised speech representation and contextual text embedding. The researchers employed a deep convolutional network to extract spatiotemporal features from…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
