Text-To-Speech Synthesis

Text-To-Speech Synthesis is a machine learning task that involves converting written text into spoken words. The goal is to generate synthetic speech that sounds natural and resembles human speech as closely as possible.

Papers

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Showing 71–80 of 332 papers

Title	Date	Tasks	Status	Hype
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data	Apr 4, 2019	Speech Synthesistext-to-speech	CodeCode Available	1
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis	Mar 27, 2019	Emotional Speech SynthesisExpressive Speech Synthesis	CodeCode Available	1
Exploring Transfer Learning for Low Resource Emotional TTS	Jan 14, 2019	Deep LearningEmotional Speech Synthesis	CodeCode Available	1
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis	Mar 23, 2018	Speech SynthesisStyle Transfer	CodeCode Available	1
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention	Oct 24, 2017	text-to-speechText to Speech	CodeCode Available	1
Tacotron: Towards End-to-End Speech Synthesis	Mar 29, 2017	Audio SynthesisSpeech Synthesis	CodeCode Available	1
S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation	Jun 11, 2025	Reading ComprehensionSpeech Synthesis	—Unverified	0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions	Jun 4, 2025	Data AugmentationDiversity	—Unverified	0
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech	Jun 3, 2025	Speech Synthesistext-to-speech	—Unverified	0
SALF-MOS: Speaker Agnostic Latent Features Downsampled for MOS Prediction	Jun 2, 2025	Speech Synthesistext-to-speech	—Unverified	0

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All datasets LJSpeech 20000 utterances CMUDict 0.7b HUI speech corpus Thorsten voice 21.02 neutral Trinity Speech-Gesture Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	NaturalSpeech	Audio Quality MOS	4.56	—	Unverified
2	VITS	Audio Quality MOS	4.43	—	Unverified
3	Grad-TTS + HiFiGAN (1000 steps)	Audio Quality MOS	4.37	—	Unverified
4	FastSpeech 2 + HiFiGAN	Audio Quality MOS	4.34	—	Unverified
5	Glow-TTS + HiFiGAN	Audio Quality MOS	4.34	—	Unverified
6	FastSpeech 2 + HiFiGAN	Audio Quality MOS	4.32	—	Unverified
7	FastDiff (4 steps)	Audio Quality MOS	4.28	—	Unverified
8	FastDiff-TTS	Audio Quality MOS	4.03	—	Unverified
9	Transformer TTS (Mel + WaveGlow)	Audio Quality MOS	3.88	—	Unverified
10	FastSpeech (Mel + WaveGlow)	Audio Quality MOS	3.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mia	10-keyword Speech Commands dataset	16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Token-Level Ensemble Distillation	Phoneme Error Rate	4.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tacotron 2	Mean Opinion Score	3.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tacotron 2	Mean Opinion Score	3.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Match-TTSG	MOS	3.7	—	Unverified