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 901–910 of 1249 papers

Title	Date	Tasks	Status
Using NLG for speech synthesis of mathematical sentences	Oct 1, 2019	SentenceSpeech Synthesis	—Unverified
Using previous acoustic context to improve Text-to-Speech synthesis	Dec 7, 2020	DecoderSpeech Synthesis	—Unverified
Using VAEs and Normalizing Flows for One-shot Text-To-Speech Synthesis of Expressive Speech	Nov 28, 2019	DisentanglementExpressive Speech Synthesis	—Unverified
Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit	Apr 22, 2020	Speech Synthesis	—Unverified
Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE	Jun 6, 2022	Representation LearningSpeech Representation Learning	—Unverified
UzbekTagger: The rule-based POS tagger for Uzbek language	Jan 30, 2023	Language ModelingLanguage Modelling	—Unverified
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages	May 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers	Jun 8, 2024	Speech Synthesistext-to-speech	—Unverified
VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment	Jun 12, 2024	QuantizationSpeech Synthesis	—Unverified
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation	Mar 14, 2023	DisentanglementSpeech Synthesis	—Unverified

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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