Genetic vectors are vehicles for delivering foreign DNA into recipient cells. Vectors can replicate autonomously and typically include features to facilitate the manipulation of DNA as well as a ...
Viral vectors are used for the delivery of genetical material into cells. Because viruses have a natural ability to efficiently deliver their genome into host cells, they are an ideal tool for gene ...
EX-Vector: Emotional X-Vector Transfer Learning for Speaker Recognition With Emotion Domain Adaption
Abstract: In emotional speaker recognition, the emotion-mismatch problem arises due to the inconsistency of the speaker's emotional state between the registration utterance and the test utterance. In ...
Abstract: In this paper, we propose a deep learning (DL)-based task-driven spectrum prediction framework, named DeepSPred. The DeepSPred comprises a feature encoder and a task predictor, where the ...
This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection ...
Diffusion Speech is a diffusion-based text-to-speech model. Our speech synthesis pipeline is quite simple. We use a diffusion transformer model (DiT) to predict the duration of each phoneme. Then we ...
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