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 11–20 of 1249 papers

Title	Date	Tasks	Status	Hype
Very Low Complexity Speech Synthesis Using Framewise Autoregressive GAN (FARGAN) with Pitch Prediction	May 31, 2024	Speech Synthesis	CodeCode Available	5
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models	Jun 13, 2023	Speech Synthesistext-to-speech	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
ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching	Jun 16, 2025	DecoderSpeech Synthesis	CodeCode Available	4
Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis	Feb 6, 2025	Speech Synthesis	CodeCode Available	4
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis	Jun 1, 2023	Audio SynthesisComputational Efficiency	CodeCode Available	4
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
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis	May 5, 2025	ChatbotDecoder	CodeCode Available	3
MoonCast: High-Quality Zero-Shot Podcast Generation	Mar 18, 2025	Speech Synthesistext-to-speech	CodeCode Available	3
Towards Controllable Speech Synthesis in the Era of Large Language Models: A Survey	Dec 9, 2024	Speech SynthesisSurvey	CodeCode Available	3

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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