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

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Showing 331–340 of 1249 papers

Title	Date	Tasks	Status
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Post Auto-regressive GAN Vocoder Focused on Spectrum Fracture	Apr 12, 2022	Speech Synthesis	—Unverified
Building Open Javanese and Sundanese Corpora for Multilingual Text-to-Speech	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
Building A User-Centric and Content-Driven Socialbot	May 6, 2020	ArticlesManagement	—Unverified
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS	Aug 3, 2023	DenoisingSpeech Synthesis	—Unverified
Building a synchronous corpus of acoustic and 3D facial marker data for adaptive audio-visual speech synthesis	May 1, 2012	Audio-Visual Speech RecognitionSpeech Recognition	—Unverified
Building and using language resources and infrastructure to develop e-learning programs for a minority language	May 1, 2017	Language AcquisitionSpeech Synthesis	—Unverified
基於字元階層之語音合成用文脈訊息擷取 (Character-Level Linguistic Features Extraction for Text-to-Speech System) [In Chinese]	Dec 1, 2016	Feature EngineeringSpeech Synthesis	—Unverified
BUCEADOR, a multi-language search engine for digital libraries	May 1, 2012	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models	Nov 17, 2022	Speech Synthesistext-to-speech	—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