Speech Synthesis

Speech synthesis is the task of generating speech from some other modality like text, lip movements etc.

Please note that the leaderboards here are not really comparable between studies - as they use mean opinion score as a metric and collect different samples from Amazon Mechnical Turk.

( Image credit: WaveNet: A generative model for raw audio )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 1249 papers

Title	Date	Tasks	Status	Hype
A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language Models	Apr 22, 2025	cross-modal alignmentScript Generation	—Unverified	0
SOLIDO: A Robust Watermarking Method for Speech Synthesis via Low-Rank Adaptation	Apr 21, 2025	parameter-efficient fine-tuningSpeech Synthesis	—Unverified	0
DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue	Apr 20, 2025	DiversitySpeech Synthesis	CodeCode Available	0
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion	Apr 18, 2025	Generative Adversarial NetworkImage Generation	—Unverified	0
Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis	Apr 14, 2025	Language ModelingLanguage Modelling	—Unverified	0
AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis	Apr 14, 2025	RAGRetrieval-augmented Generation	—Unverified	0
SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis	Apr 14, 2025	Face SwappingSpeech Synthesis	CodeCode Available	1
AMNet: An Acoustic Model Network for Enhanced Mandarin Speech Synthesis	Apr 12, 2025	Speech Synthesis	—Unverified	0
SlimSpeech: Lightweight and Efficient Text-to-Speech with Slim Rectified Flow	Apr 10, 2025	Speech Synthesistext-to-speech	—Unverified	0
Empowering Global Voices: A Data-Efficient, Phoneme-Tone Adaptive Approach to High-Fidelity Speech Synthesis	Apr 10, 2025	Speech Synthesistext-to-speech	—Unverified	0

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All datasets LibriTTS North American English LJSpeech Mandarin Chinese Blizzard Challenge 2013

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PeriodWave-Turbo-L	PESQ	4.45	—	Unverified
2	BigVGAN-v2	PESQ	4.36	—	Unverified
3	EVA-GAN-big	PESQ	4.35	—	Unverified
4	PeriodWave + FreeU	PESQ	4.25	—	Unverified
5	RFWave	PESQ	4.23	—	Unverified
6	BigVSAN (w/ snakebeta)	PESQ	4.12	—	Unverified
7	BigVSAN	PESQ	4.12	—	Unverified
8	EVA-GAN-base	PESQ	4.03	—	Unverified
9	BigVGAN	PESQ	4.03	—	Unverified
10	Vocos	PESQ	3.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tacotron 2	Mean Opinion Score	4.53	—	Unverified
2	WaveNet (Linguistic)	Mean Opinion Score	4.34	—	Unverified
3	WaveNet (L+F)	Mean Opinion Score	4.21	—	Unverified
4	Tacotron	Mean Opinion Score	4	—	Unverified
5	HMM-driven concatenative	Mean Opinion Score	3.86	—	Unverified
6	LSTM-RNN parametric	Mean Opinion Score	3.67	—	Unverified
7	means	Mean Opinion Score	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BDDM vocoder	Mean Opinion Score	4.48	—	Unverified
2	DiffWave LARGE	Mean Opinion Score	4.44	—	Unverified
3	Neural HMM	Mean Opinion Score	3.24	—	Unverified
4	Neural HMM Ablation with 1 state per phone	Mean Opinion Score	2.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WaveNet (L+F)	Mean Opinion Score	4.08	—	Unverified
2	LSTM-RNN parametric	Mean Opinion Score	3.79	—	Unverified
3	HMM-driven concatenative	Mean Opinion Score	3.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SampleRNN (2-tier)	NLL	1.39	—	Unverified
2	SampleRNN (3-tier)	NLL	1.39	—	Unverified