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Deep Learning

1752 directly classified papers

Papers per year

Papers

Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation INTERSPEECH 2021
Personalized Keyphrase Detection Using Speaker and Environment Information INTERSPEECH 2021
Bootstrap an End-to-End ASR System by Multilingual Training, Transfer Learning, Text-to-Text Mapping and Synthetic Audio INTERSPEECH 2021
Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling INTERSPEECH 2021
Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio INTERSPEECH 2021
Cross-Lingual Voice Conversion with a Cycle Consistency Loss on Linguistic Representation INTERSPEECH 2021
Two-Pathway Style Embedding for Arbitrary Voice Conversion INTERSPEECH 2021
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR INTERSPEECH 2021
Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition INTERSPEECH 2021
A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation INTERSPEECH 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework NIPS 2021
Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex INTERSPEECH 2021
Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification INTERSPEECH 2021
Efficient Lottery Ticket Finding: Less Data is More ICML 2021
Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning INTERSPEECH 2021
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds INTERSPEECH 2021
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021
SynthASR: Unlocking Synthetic Data for Speech Recognition INTERSPEECH 2021
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-Stage Sequence-to-Sequence Training INTERSPEECH 2021
Explaining Deep Learning Models for Speech Enhancement INTERSPEECH 2021
End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-Switching Speech Recognition INTERSPEECH 2021
Delving into Deep Imbalanced Regression ICML 2021
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss ICML 2021
Incorporating Embedding Vectors from a Human Mean-Opinion Score Prediction Model for Monaural Speech Enhancement INTERSPEECH 2021
Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement INTERSPEECH 2021