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 801–810 of 1249 papers

Title	Date	Tasks	Status	Hype
Simultaneous Translation	Nov 1, 2020	Machine Translationspeech-recognition	—Unverified	0
Effective Deep Learning Models for Automatic Diacritization of Arabic Text	Nov 1, 2020	Arabic Text DiacritizationDecoder	CodeCode Available	1
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition	Oct 26, 2020	Emotion RecognitionSpeech Emotion Recognition	—Unverified	0
Multi-stream Attention-based BLSTM with Feature Segmentation for Speech Emotion Recognition	Oct 25, 2020	Data AugmentationEmotional Speech Synthesis	—Unverified	0
GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis	Oct 23, 2020	Graph AttentionGraph Neural Network	—Unverified	0
NU-GAN: High resolution neural upsampling with GAN	Oct 22, 2020	Audio GenerationSpeech Synthesis	—Unverified	0
An Investigation of the Relation Between Grapheme Embeddings and Pronunciation for Tacotron-based Systems	Oct 21, 2020	Grapheme-to-Phoneme ConversionRelation	—Unverified	0
Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm	Oct 21, 2020	speaker-diarizationSpeaker Diarization	CodeCode Available	1
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE	Oct 19, 2020	Speech Synthesistext-to-speech	—Unverified	0
Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion	Oct 16, 2020	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