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Found 4 papers, 2 papers with code
Federated Few-shot Learning for Cough Classification with Edge Devices
In this work, our aim is to develop a framework that can effectively perform cough classification even in situations when enormous cough data is not available, while also addressing privacy concerns.
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation
In this paper, we introduce a high-quality and large-scale benchmark dataset for English-Vietnamese speech translation with 508 audio hours, consisting of 331K triplets of (sentence-lengthed audio, English source transcript sentence, Vietnamese target subtitle sentence).
FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis
Recently, autoregressive neural vocoders have provided remarkable performance in generating high-fidelity speech and have been able to produce synthetic speech in real-time.
Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder
Voice conversion is a challenging task which transforms the voice characteristics of a source speaker to a target speaker without changing linguistic content.
