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Found 6 papers, 0 papers with code
Direct Text to Speech Translation System using Acoustic Units
This framework employs text in different source languages as input to generate speech in the target language without the need for text transcriptions in this language.
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation
Having a single model that supports multiple translation tasks is desirable.
Class Token and Knowledge Distillation for Multi-head Self-Attention Speaker Verification Systems
This paper explores three novel approaches to improve the performance of speaker verification (SV) systems based on deep neural networks (DNN) using Multi-head Self-Attention (MSA) mechanisms and memory layers.
Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With Limited Training Data
Area under the ROC curve (AUC) optimisation techniques developed for neural networks have recently demonstrated their capabilities in different audio and speech related tasks.
Optimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification
This paper explores two techniques to improve the performance of text-dependent speaker verification systems based on deep neural networks.
Differentiable Supervector Extraction for Encoding Speaker and Phrase Information in Text Dependent Speaker Verification
Moreover, we can apply a convolutional neural network as front-end, and thanks to the alignment process being differentiable, we can train the whole network to produce a supervector for each utterance which will be discriminative with respect to the speaker and the phrase simultaneously.
