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15,805 papers

Papers per year

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Papers

Detecting and Counting Overlapping Speakers in Distant Speech Scenarios INTERSPEECH 2020
Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals INTERSPEECH 2020
Predicting Collaborative Task Performance Using Graph Interlocutor Acoustic Network in Small Group Interaction INTERSPEECH 2020
Automatic Prediction of Confidence Level from Children’s Oral Reading Recordings INTERSPEECH 2020
Detection of Voicing and Place of Articulation of Fricatives with Deep Learning in a Virtual Speech and Language Therapy Tutor INTERSPEECH 2020
Accurate Detection of Wake Word Start and End Using a CNN INTERSPEECH 2020
The Phonetic Bases of Vocal Expressed Emotion: Natural versus Acted INTERSPEECH 2020
Investigation of Large-Margin Softmax in Neural Language Modeling INTERSPEECH 2020
Voice Activity Detection in the Wild via Weakly Supervised Sound Event Detection INTERSPEECH 2020
Dual Attention in Time and Frequency Domain for Voice Activity Detection INTERSPEECH 2020
Polishing the Classical Likelihood Ratio Test by Supervised Learning for Voice Activity Detection INTERSPEECH 2020
MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection INTERSPEECH 2020
On Parameter Adaptation in Softmax-Based Cross-Entropy Loss for Improved Convergence Speed and Accuracy in DNN-Based Speaker Recognition INTERSPEECH 2020
Angular Margin Centroid Loss for Text-Independent Speaker Recognition INTERSPEECH 2020
Spoken Language ‘Grammatical Error Correction’ INTERSPEECH 2020
Mixtures of Deep Neural Experts for Automated Speech Scoring INTERSPEECH 2020
Targeted Content Feedback in Spoken Language Learning and Assessment INTERSPEECH 2020
Automatic Estimation of Pathological Voice Quality Based on Recurrent Neural Network Using Amplitude and Phase Spectrogram INTERSPEECH 2020
Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition INTERSPEECH 2020
Removing Bias with Residual Mixture of Multi-View Attention for Speech Emotion Recognition INTERSPEECH 2020
Speech Emotion Recognition with Discriminative Feature Learning INTERSPEECH 2020
Learning to Recognize Per-Rater’s Emotion Perception Using Co-Rater Training Strategy with Soft and Hard Labels INTERSPEECH 2020
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition INTERSPEECH 2020
HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection INTERSPEECH 2020
Detecting Domain-Specific Credibility and Expertise in Text and Speech INTERSPEECH 2020