Speech

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
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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Effective Phase Encoding for End-To-End Speaker Verification
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ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform
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When Hearing the Voice, Who Will Come to Your Mind
Speech is a carrier containing rich biological information, such as speaker identity information including age, gender, race. In this …
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A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection
In this paper, we propose a real-time robot-based auxiliary system for risk evaluation of COVID-19 infection. It combines real-time …
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A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection
Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding
End-to-end Spoken Language Understanding (SLU) models are made increasingly large and complex to achieve the state-of-the-art accuracy. …
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Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding
MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection
Voice activity detection (VAD) makes a distinction between speech and non-speech and its performance is of crucial importance for …
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MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder
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