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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
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Papers

Direct Modelling of Speech Emotion from Raw Speech INTERSPEECH 2019
Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification INTERSPEECH 2019
Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning INTERSPEECH 2019
End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification INTERSPEECH 2019
An Effective Deep Embedding Learning Architecture for Speaker Verification INTERSPEECH 2019
Two-Stage Training for Chinese Dialect Recognition INTERSPEECH 2019
Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments INTERSPEECH 2019
Joint Optimization of Neural Acoustic Beamforming and Dereverberation with x-Vectors for Robust Speaker Verification INTERSPEECH 2019
A New Time-Frequency Attention Mechanism for TDNN and CNN-LSTM-TDNN, with Application to Language Identification INTERSPEECH 2019
An Attention-Based Hybrid Network for Automatic Detection of Alzheimer’s Disease from Narrative Speech INTERSPEECH 2019
Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition INTERSPEECH 2019
Synchronising Audio and Ultrasound by Learning Cross-Modal Embeddings INTERSPEECH 2019
Deep Sensing of Breathing Signal During Conversational Speech INTERSPEECH 2019
Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation INTERSPEECH 2019
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition INTERSPEECH 2019
Large-Scale Visual Speech Recognition INTERSPEECH 2019
A Neural Turn-Taking Model without RNN INTERSPEECH 2019
Deep Multitask Acoustic Echo Cancellation INTERSPEECH 2019
End-to-End Neural Speaker Diarization with Permutation-Free Objectives INTERSPEECH 2019
Phonetically-Aware Embeddings, Wide Residual Networks with Time-Delay Neural Networks and Self Attention Models for the 2018 NIST Speaker Recognition Evaluation INTERSPEECH 2019
End-to-End Speaker Identification in Noisy and Reverberant Environments Using Raw Waveform Convolutional Neural Networks INTERSPEECH 2019
Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization INTERSPEECH 2019
Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment INTERSPEECH 2019
Joint Maximization Decoder with Neural Converters for Fully Neural Network-Based Japanese Speech Recognition INTERSPEECH 2019
Real to H-Space Encoder for Speech Recognition INTERSPEECH 2019