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Synthesis

1,901 papers (20 classified directly here)

Subtopics

Speech Enhancement (1,013) Text-to-Speech (846) Speech Synthesis (177)

Papers per year

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Papers (including subtopics)

Multimodal Speech Summarization Through Semantic Concept Learning INTERSPEECH 2021
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion INTERSPEECH 2021
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-Stage Sequence-to-Sequence Training INTERSPEECH 2021
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation INTERSPEECH 2021
TVQVC: Transformer Based Vector Quantized Variational Autoencoder with CTC Loss for Voice Conversion INTERSPEECH 2021
Many-to-Many Voice Conversion Based Feature Disentanglement Using Variational Autoencoder INTERSPEECH 2021
Glottal Stops in Upper Sorbian: A Data-Driven Approach INTERSPEECH 2021
Multi-Stream Gated and Pyramidal Temporal Convolutional Neural Networks for Audio-Visual Speech Separation in Multi-Talker Environments INTERSPEECH 2021
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation INTERSPEECH 2021
Residual Echo and Noise Cancellation with Feature Attention Module and Multi-Domain Loss Function INTERSPEECH 2021
MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech Separation INTERSPEECH 2021
Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement INTERSPEECH 2021
Scene-Agnostic Multi-Microphone Speech Dereverberation INTERSPEECH 2021
A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation INTERSPEECH 2021
Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source Separation INTERSPEECH 2021
Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition INTERSPEECH 2021
CVC: Contrastive Learning for Non-Parallel Voice Conversion INTERSPEECH 2021
A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion INTERSPEECH 2021
One-Shot Voice Conversion with Speaker-Agnostic StarGAN INTERSPEECH 2021
Fine-Tuning Pre-Trained Voice Conversion Model for Adding New Target Speakers with Limited Data INTERSPEECH 2021
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-Shot Voice Conversion INTERSPEECH 2021
StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice Conversion INTERSPEECH 2021
Normalization Driven Zero-Shot Multi-Speaker Speech Synthesis INTERSPEECH 2021
StarGAN-VC+ASR: StarGAN-Based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition INTERSPEECH 2021
Two-Pathway Style Embedding for Arbitrary Voice Conversion INTERSPEECH 2021