Co-occurring keywords
Papers
A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
INTERSPEECH 2020
NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement
INTERSPEECH 2020
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning
INTERSPEECH 2020
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss
INTERSPEECH 2020
Lite Audio-Visual Speech Enhancement
INTERSPEECH 2020
Adversarial Latent Representation Learning for Speech Enhancement
INTERSPEECH 2020
Attention Wave-U-Net for Acoustic Echo Cancellation
INTERSPEECH 2020
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
INTERSPEECH 2020
Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency
INTERSPEECH 2020
Investigation of Phase Distortion on Perceived Speech Quality for Hearing-Impaired Listeners
INTERSPEECH 2020
Deep Learning Based Dereverberation of Temporal Envelopes for Robust Speech Recognition
INTERSPEECH 2020
Multi-Task Learning for End-to-End Noise-Robust Bandwidth Extension
INTERSPEECH 2020
Exploiting Conic Affinity Measures to Design Speech Enhancement Systems Operating in Unseen Noise Conditions
INTERSPEECH 2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
INTERSPEECH 2020
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising
INTERSPEECH 2020
Neural Spatio-Temporal Beamformer for Target Speech Separation
INTERSPEECH 2020