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Transfer Ability of Monolingual Wav2vec2.0 for Low-resource Speech Recognition
Recently, there are several domains that have their own feature extractors, such as ResNet, BERT, and GPT-x, which are widely used for …
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Transfer Ability of Monolingual Wav2vec2.0 for Low-resource Speech Recognition
Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition
In this paper, we demonstrate the efficacy of transfer learning and continuous learning for various automatic speech recognition (ASR) …
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Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition
图神经网络综述
Last updated on Aug 21, 2025
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LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
In this paper, we propose a novel conditional convolution network, named location-variable convolution, to model the dependencies of …
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LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
Singer Identification Using Deep Timbre Feature Learning with KNN-NET
In this paper, we study the issue of automatic singer identification (SID) in popular music recordings, which aims to recognize who …
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Singer Identification Using Deep Timbre Feature Learning with KNN-NET
Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition
Self-attention models have been successfully applied in end-to-end speech recognition systems, which greatly improve the performance of …
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Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition
End-To-End Silent Speech Recognition with Acoustic Sensing
Silent speech interfaces (SSI) has been an exciting area of recent interest. In this paper, we present a non-invasive silent speech …
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End-To-End Silent Speech Recognition with Acoustic Sensing
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
This paper introduces a graphical representation approach of prosody boundary (GraphPB) in the task of Chinese speech synthesis, …
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GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
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