TTS

RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis
Although current Text-To-Speech (TTS) models are able to generate high-quality speech samples, there are still challenges in developing …
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RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis
ED-TTS: Multi-Scale Emotion Modeling Using Cross-Domain Emotion Diarization for Emotional Speech Synthesis
Existing emotional speech synthesis methods often utilize an utterance-level style embedding extracted from reference audio, neglecting …
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ED-TTS: Multi-Scale Emotion Modeling Using Cross-Domain Emotion Diarization for Emotional Speech Synthesis
DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation
Most existing neural-based text-to-speech methods rely on extensive datasets and face challenges under low-resource condition. In this …
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DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework
This paper integrates graph-to-sequence into an end-to-end text-to-speech framework for syntax-aware modelling with syntactic …
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FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
There has been significant progress in emotional Text-To-Speech (TTS) synthesis technology in recent years. However, existing methods …
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EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model
In recent Text-to-Speech (TTS) systems, a neural vocoder often generates speech samples by solely conditioning on acoustic features …
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SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
Recent expressive text to speech (TTS) models focus on synthesizing emotional speech, but some fine-grained styles such as intonation …
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QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data
In this paper, we proposed Adapitch, a multi-speaker TTS method that makes adaptation of the supervised module with untranscribed data. …
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Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data
Semi-Supervised Learning Based on Reference Model for Low-resource TTS
Most previous neural text-to-speech (TTS) methods are mainly based on supervised learning methods, which means they depend on a large …
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Semi-Supervised Learning Based on Reference Model for Low-resource TTS
TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS
Recently, synthesizing personalized speech by text-to-speech (TTS) application is highly demanded. But the previous TTS models require …
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TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS