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07/13/2023
Controllable Emphasis with zero data for text-to-speech
We present a scalable method to produce high quality emphasis for text-t...
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12/07/2022
Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue
Entrainment is the phenomenon by which an interlocutor adapts their spea...
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02/13/2022
Distribution augmentation for low-resource expressive text-to-speech
This paper presents a novel data augmentation technique for text-to-spee...
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10/24/2021
Discrete acoustic space for an efficient sampling in neural text-to-speech
We present an SVQ-VAE architecture using a split vector quantizer for NT...
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04/15/2021
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems
Developing Text Normalization (TN) systems for Text-to-Speech (TTS) on n...
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08/20/2019
Prosodic Phrase Alignment for Machine Dubbing
Dubbing is a type of audiovisual translation where dialogues are transla...
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06/03/2019
Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN
Text-to-speech (TTS) acoustic models map linguistic features into an aco...
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04/06/2019
Towards Generalized Speech Enhancement with Generative Adversarial Networks
The speech enhancement task usually consists of removing additive noise ...
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04/06/2019
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Learning good representations without supervision is still an open issue...
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08/31/2018
Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks
Most methods of voice restoration for patients suffering from aphonia ei...
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08/31/2018
Self-Attention Linguistic-Acoustic Decoder
The conversion from text to speech relies on the accurate mapping from l...
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12/18/2017
Language and Noise Transfer in Speech Enhancement Generative Adversarial Network
Speech enhancement deep learning systems usually require large amounts o...
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03/28/2017