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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 332 papers

Title	Date	Tasks	Status	Hype
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers	Jan 5, 2023	In-Context LearningLanguage Modeling	CodeCode Available	7
PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit	May 20, 2022	AllAutomatic Speech Recognition (ASR)	CodeCode Available	6
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech	Nov 7, 2022	Representation LearningSpeech Representation Learning	CodeCode Available	6
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning	Jun 5, 2024	Automatic Speech Recognition (ASR)de-en	CodeCode Available	5
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling	Mar 7, 2023	In-Context LearningLanguage Modeling	CodeCode Available	5
Enhancing Suno's Bark Text-to-Speech Model: Addressing Limitations Through Meta's Encodec and Pre-Trained Hubert	Apr 18, 2023	Audio GenerationExpressive Speech Synthesis	CodeCode Available	4
ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching	Jun 16, 2025	DecoderSpeech Synthesis	CodeCode Available	4
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech	Jul 13, 2022	DenoisingGPU	CodeCode Available	3
Matcha-TTS: A fast TTS architecture with conditional flow matching	Sep 6, 2023	Acoustic ModellingDecoder	CodeCode Available	3
MoonCast: High-Quality Zero-Shot Podcast Generation	Mar 18, 2025	Speech Synthesistext-to-speech	CodeCode Available	3

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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