conftrace_
← Synthesis
Speech & Audio › Synthesis ›

Speech Enhancement

1,013 papers

Papers per year

1
126
67
'15
'20
'25

Papers

Emotional Voice Conversion with Adaptive Scales F0 Based on Wavelet Transform Using Limited Amount of Emotional Data INTERSPEECH 2017
Segment Level Voice Conversion with Recurrent Neural Networks INTERSPEECH 2017
Deep Recurrent Neural Network Based Monaural Speech Separation Using Recurrent Temporal Restricted Boltzmann Machines INTERSPEECH 2017
Improved Codebook-Based Speech Enhancement Based on MBE Model INTERSPEECH 2017
Improving Mask Learning Based Speech Enhancement System with Restoration Layers and Residual Connection INTERSPEECH 2017
SEGAN: Speech Enhancement Generative Adversarial Network INTERSPEECH 2017
Adaptive Multichannel Dereverberation for Automatic Speech Recognition INTERSPEECH 2017
Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network INTERSPEECH 2017
Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs INTERSPEECH 2017
Evaluation of a Silent Speech Interface Based on Magnetic Sensing and Deep Learning for a Phonetically Rich Vocabulary INTERSPEECH 2017
Weakly-supervised text-to-speech alignment confidence measure COLING 2016
Spectral Enhancement of Cleft Lip and Palate Speech INTERSPEECH 2016
Assessing Level-Dependent Segmental Contribution to the Intelligibility of Speech Processed by Single-Channel Noise-Suppression Algorithms INTERSPEECH 2016
Effectiveness of Near-End Speech Enhancement Under Equal-Loudness and Equal-Level Constraints INTERSPEECH 2016
Speech Synthesis in Noisy Environment by Enhancing Strength of Excitation and Formant Prominence INTERSPEECH 2016
Predicting Binaural Speech Intelligibility from Signals Estimated by a Blind Source Separation Algorithm INTERSPEECH 2016
Automated Pause Insertion for Improved Intelligibility Under Reverberation INTERSPEECH 2016
Robust Vowel Landmark Detection Using Epoch-Based Features INTERSPEECH 2016
Perceived Naturalness of Electrolaryngeal Speech Produced Using sEMG-Controlled vs. Manual Pitch Modulation INTERSPEECH 2016
A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences INTERSPEECH 2016
Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks INTERSPEECH 2016
Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features INTERSPEECH 2016
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance INTERSPEECH 2016
Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System Using Deep Recurrent Neural Networks INTERSPEECH 2016
Single-Channel Multi-Speaker Separation Using Deep Clustering INTERSPEECH 2016