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Synthesis

2,133 papers (20 classified directly here)

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Papers (including subtopics)

From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint Interspeech 2020 g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset Interspeech 2020 GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus Interspeech 2020 Generative Adversarial Network Based Acoustic Echo Cancellation Interspeech 2020 Generic Indic Text-to-Speech Synthesisers with Rapid Adaptation in an End-to-End Framework Interspeech 2020 GEV Beamforming Supported by DOA-Based Masks Generated on Pairs of Microphones Interspeech 2020 Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search NeurIPS 2020 Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model ACL 2020 Hider-Finder-Combiner: An Adversarial Architecture for General Speech Signal Modification Interspeech 2020 Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis Interspeech 2020 HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis NeurIPS 2020 High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency Interspeech 2020 Identifying Important Time-Frequency Locations in Continuous Speech Utterances Interspeech 2020 iMetricGAN: Intelligibility Enhancement for Speech-in-Noise Using Generative Adversarial Network-Based Metric Learning Interspeech 2020 Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning Interspeech 2020 Improved Speech Enhancement Using TCN with Multiple Encoder-Decoder Layers Interspeech 2020 Improved Zero-Shot Voice Conversion Using Explicit Conditioning Signals Interspeech 2020 Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS Interspeech 2020 Improving Opus Low Bit Rate Quality with Neural Speech Synthesis Interspeech 2020 Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion Interspeech 2020 Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model Interspeech 2020 Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition Interspeech 2020 Incorporating Broad Phonetic Information for Speech Enhancement Interspeech 2020 Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency Interspeech 2020 Incremental Machine Speech Chain Towards Enabling Listening While Speaking in Real-Time Interspeech 2020