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 341–350 of 1249 papers

Title	Date	Tasks	Status	Score
Empirical Study Incorporating Linguistic Knowledge on Filled Pauses for Personalized Spontaneous Speech Synthesis	Oct 14, 2022	Speech SynthesisVoice Cloning	CodeCode Available	5
ConvNeXt Based Neural Network for Audio Anti-Spoofing	Sep 14, 2022	image-classificationImage Classification	CodeCode Available	5
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems	May 21, 2019	parameter estimationSpeech Synthesis	CodeCode Available	5
ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis	Mar 20, 2022	Speaker VerificationSpeech Synthesis	CodeCode Available	5
DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibility	Mar 7, 2025	Speech Synthesis	CodeCode Available	5
DurIAN: Duration Informed Attention Network For Multimodal Synthesis	Sep 4, 2019	CPUSpeech Synthesis	CodeCode Available	5
Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data	Sep 25, 2019	speech-recognitionSpeech Recognition	CodeCode Available	5
Direct speech-to-speech translation with a sequence-to-sequence model	Apr 12, 2019	Speech SynthesisSpeech-to-Speech Translation	CodeCode Available	5
Distilling the Knowledge from Conditional Normalizing Flows	Jun 24, 2021	Image Super-ResolutionSpeech Synthesis	CodeCode Available	5
Continuous Speech Synthesis using per-token Latent Diffusion	Oct 21, 2024	Image GenerationQuantization	—Unverified	0

Show:10 25 50

← PrevPage 35 of 125Next →

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