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MelGlow: Efficient Waveform Generative Network Based On Location-Variable Convolution
Recent neural vocoders usually use a WaveNet-like network to capture the long-term dependencies of the waveform, but a large number of …
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MelGlow: Efficient Waveform Generative Network Based On Location-Variable Convolution
Multi-Quartznet: Multi-Resolution Convolution for Speech Recognition with Multi-Layer Feature Fusion
In this paper, we propose an end-to-end speech recognition network based on Nvidia’s previous QuartzNet [1] model. We try to …
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Multi-Quartznet: Multi-Resolution Convolution for Speech Recognition with Multi-Layer Feature Fusion
A Competition of Shape and Texture Bias by Multi-view Image Representation
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A Novel Capsule Aggregation Framework for Natural Language Inference
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A Quantitative Metric for Privacy Leakage in Federated Learning
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Anomaly Removal for Vehicle Energy Consumption in Federated Learning
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Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices
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Case Study of Few-Shot Learning in Text Recognition Models
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Communication-Memory-Efficient Decentralized Learning For Audio Representation
Smartphones and wearable devices produce a wealth of audio data, which cannot be accumulated in a centralized repository for learning …
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Contrastive Learning for improving End-to-end Speaker Verification
Speaker verification involves examining the speech signal to authenticate the claim of a speaker as true or false. Deep neural networks …
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