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Emotion Intensity and its Control for Emotional Voice Conversion ...
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Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification ...
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Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training ...
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Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification ...
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HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE ...
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Identity Conversion for Emotional Speakers: A Study for Disentanglement of Emotion Style and Speaker Identity ...
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Revisiting Self-training for Few-shot Learning of Language Model ...
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Modeling phones, keywords, topics and intents in spoken languages
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An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning ...
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VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech ...
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Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data ...
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Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset ...
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Speaker-Utterance Dual Attention for Speaker and Utterance Verification ...
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Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion ...
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Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data ...
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Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-based LVCSR ...
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20 |
VAW-GAN for Singing Voice Conversion with Non-parallel Training Data ...
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