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 361–370 of 1249 papers

Title	Date	Tasks	Status	Hype
Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding	Jul 28, 2023	Language ModelingLanguage Modelling	—Unverified	0
SC VALL-E: Style-Controllable Zero-Shot Text to Speech Synthesizer	Jul 20, 2023	Expressive Speech SynthesisLanguage Modelling	CodeCode Available	1
An analysis on the effects of speaker embedding choice in non auto-regressive TTS	Jul 19, 2023	Representation LearningSpeech Synthesis	—Unverified	0
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs	Jul 18, 2023	Generative Adversarial NetworkLanguage Modeling	—Unverified	0
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis	Jul 14, 2023	In-Context LearningLanguage Modelling	—Unverified	0
On the Use of Self-Supervised Speech Representations in Spontaneous Speech Synthesis	Jul 11, 2023	PredictionSelf-Supervised Learning	—Unverified	0
Deep Speech Synthesis from MRI-Based Articulatory Representations	Jul 5, 2023	Computational EfficiencyDenoising	CodeCode Available	1
Disentanglement in a GAN for Unconditional Speech Synthesis	Jul 4, 2023	DisentanglementGenerative Adversarial Network	CodeCode Available	1
RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations	Jul 3, 2023	Lip to Speech SynthesisSpeaker-Specific Lip to Speech Synthesis	—Unverified	0
High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units	Jun 29, 2023	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