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Deep Learning

1,856 papers

Papers per year

3
20
266
176
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Papers

Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments INTERSPEECH 2020
A Deep Learning-Based Kalman Filter for Speech Enhancement INTERSPEECH 2020
Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement INTERSPEECH 2020
Speaker-Conditional Chain Model for Speech Separation and Extraction INTERSPEECH 2020
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling INTERSPEECH 2020
Context-Aware Goodness of Pronunciation for Computer-Assisted Pronunciation Training INTERSPEECH 2020
Towards Speech Robustness for Acoustic Scene Classification INTERSPEECH 2020
Detection of Voicing and Place of Articulation of Fricatives with Deep Learning in a Virtual Speech and Language Therapy Tutor INTERSPEECH 2020
Speaker-Independent Mel-Cepstrum Estimation from Articulator Movements Using D-Vector Input INTERSPEECH 2020
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability INTERSPEECH 2020
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model INTERSPEECH 2020
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict INTERSPEECH 2020
Insertion-Based Modeling for End-to-End Automatic Speech Recognition INTERSPEECH 2020
Dual Attention in Time and Frequency Domain for Voice Activity Detection INTERSPEECH 2020
Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction INTERSPEECH 2020
End-to-End Speech-to-Dialog-Act Recognition INTERSPEECH 2020
Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning INTERSPEECH 2020
Hide and Speak: Towards Deep Neural Networks for Speech Steganography INTERSPEECH 2020
Bi-Encoder Transformer Network for Mandarin-English Code-Switching Speech Recognition Using Mixture of Experts INTERSPEECH 2020
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS INTERSPEECH 2020
Towards Context-Aware End-to-End Code-Switching Speech Recognition INTERSPEECH 2020
Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency INTERSPEECH 2020
Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction INTERSPEECH 2020
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition INTERSPEECH 2020
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020