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 611–620 of 1249 papers

Title	Date	Tasks	Status
Designing the Latvian Speech Recognition Corpus	May 1, 2014	speech-recognitionSpeech Recognition	—Unverified
Designing Language Technology Applications: A Wizard of Oz Driven Prototyping Framework	Apr 1, 2014	Machine TranslationSpeech Recognition	—Unverified
Designing French Tale Corpora for Entertaining Text To Speech Synthesis	May 1, 2012	SentenceSpeech Synthesis	—Unverified
Automatic Syllabification for Manipuri language	Dec 1, 2016	Automatic Speech Recognition (ASR)Segmentation	—Unverified
Design and Development of Speech Corpora for Air Traffic Control Training	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
Design and development a children's speech database	May 25, 2016	speech-recognitionSpeech Recognition	—Unverified
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis	Apr 14, 2021	Dependency ParsingRepresentation Learning	—Unverified
De l'utilisation de descripteurs issus de la linguistique computationnelle dans le cadre de la synth\`ese par HMM (Toward the use of information density based descriptive features in HMM based speech synthesis)	Jul 1, 2016	DescriptiveSENTER	—Unverified
Automatic Prosody Prediction for Chinese Speech Synthesis using BLSTM-RNN and Embedding Features	Nov 2, 2015	Feature EngineeringProsody Prediction	—Unverified
An analysis on the effects of speaker embedding choice in non auto-regressive TTS	Jul 19, 2023	Representation LearningSpeech 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