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 981–990 of 1249 papers

Title	Date	Tasks	Status	Hype
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning	Apr 8, 2019	Brain Computer InterfaceGeneral Classification	—Unverified	0
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts	Apr 8, 2019	Binary ClassificationDeep Learning	—Unverified	0
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogram	Apr 8, 2019	Speech Synthesistext-to-speech	CodeCode Available	0
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation	Apr 5, 2019	Speech Synthesis	—Unverified	0
Multi-reference Tacotron by Intercross Training for Style Disentangling,Transfer and Control in Speech Synthesis	Apr 4, 2019	DiversitySpeech Synthesis	—Unverified	0
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data	Apr 4, 2019	Speech Synthesistext-to-speech	CodeCode Available	1
Speech denoising by parametric resynthesis	Apr 2, 2019	DenoisingResynthesis	—Unverified	0
Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet	Mar 29, 2019	DecoderSpeech Synthesis	—Unverified	0
A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet	Mar 28, 2019	Speech Synthesis	CodeCode Available	2
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis	Mar 27, 2019	Emotional Speech SynthesisExpressive Speech Synthesis	CodeCode Available	1

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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