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Neural Networks

11,705 papers

Papers per year

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Papers

DurIAN: Duration Informed Attention Network for Speech Synthesis INTERSPEECH 2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms INTERSPEECH 2020
Surgical Mask Detection with Deep Recurrent Phonetic Models INTERSPEECH 2020
Deep Attentive End-to-End Continuous Breath Sensing from Speech INTERSPEECH 2020
1-D Row-Convolution LSTM: Fast Streaming ASR at Accuracy Parity with LC-BLSTM INTERSPEECH 2020
High Performance Sequence-to-Sequence Model for Streaming Speech Recognition INTERSPEECH 2020
Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer’s Dementia Recognition INTERSPEECH 2020
Metadata-Aware End-to-End Keyword Spotting INTERSPEECH 2020
An Efficient Temporal Modeling Approach for Speech Emotion Recognition by Mapping Varied Duration Sentences into Fixed Number of Chunks INTERSPEECH 2020
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition INTERSPEECH 2020
Now You’re Speaking My Language: Visual Language Identification INTERSPEECH 2020
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement INTERSPEECH 2020
Constrained Ratio Mask for Speech Enhancement Using DNN INTERSPEECH 2020
SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning INTERSPEECH 2020
Single-Channel Speech Enhancement by Subspace Affinity Minimization INTERSPEECH 2020
Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement INTERSPEECH 2020
Online Monaural Speech Enhancement Using Delayed Subband LSTM INTERSPEECH 2020
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement INTERSPEECH 2020
Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression INTERSPEECH 2020
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss INTERSPEECH 2020
EEG-Based Short-Time Auditory Attention Detection Using Multi-Task Deep Learning INTERSPEECH 2020
Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders — Step 1: CNN Model-Based Phone Classification INTERSPEECH 2020
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-Footprint Keyword Spotting INTERSPEECH 2020
Deep Convolutional Spiking Neural Networks for Keyword Spotting INTERSPEECH 2020
Deep Template Matching for Small-Footprint and Configurable Keyword Spotting INTERSPEECH 2020