SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 926–950 of 1249 papers

TitleStatusHype
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning—0
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer—0
Voice Conversion for Whispered Speech Synthesis—0
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities—0
VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models—0
VoiceDiT: Dual-Condition Diffusion Transformer for Environment-Aware Speech Synthesis—0
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module—0
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis—0
VoxHakka: A Dialectally Diverse Multi-speaker Text-to-Speech System for Taiwanese Hakka—0
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks—0
VQalAttent: a Transparent Speech Generation Pipeline based on Transformer-learned VQ-VAE Latent Space—0
VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature—0
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder—0
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation—0
WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks—0
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks—0
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis—0
WavThruVec: Latent speech representation as intermediate features for neural speech synthesis—0
Weakly-supervised text-to-speech alignment confidence measure—0
WebWOZ: A Platform for Designing and Conducting Web-based Wizard of Oz Experiments—0
We Need Variations in Speech Generation: Sub-center Modelling for Speaker Embeddings—0
What happens to diffusion model likelihood when your model is conditional?—0
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS—0
Which Prosodic Features Matter Most for Pragmatics?—0
Which Synthetic Voice Should I Choose for an Evocative Task?—0
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All datasetsLibriTTSNorth American EnglishLJSpeechMandarin ChineseBlizzard Challenge 2013

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PeriodWave-Turbo-LPESQ4.45—Unverified
2BigVGAN-v2PESQ4.36—Unverified
3EVA-GAN-bigPESQ4.35—Unverified
4PeriodWave + FreeUPESQ4.25—Unverified
5RFWavePESQ4.23—Unverified
6BigVSAN (w/ snakebeta)PESQ4.12—Unverified
7BigVSANPESQ4.12—Unverified
8EVA-GAN-basePESQ4.03—Unverified
9BigVGANPESQ4.03—Unverified
10VocosPESQ3.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score4.53—Unverified
2WaveNet (Linguistic)Mean Opinion Score4.34—Unverified
3WaveNet (L+F)Mean Opinion Score4.21—Unverified
4TacotronMean Opinion Score4—Unverified
5HMM-driven concatenativeMean Opinion Score3.86—Unverified
6LSTM-RNN parametricMean Opinion Score3.67—Unverified
7meansMean Opinion Score0—Unverified
#ModelMetricClaimedVerifiedStatus
1BDDM vocoderMean Opinion Score4.48—Unverified
2DiffWave LARGEMean Opinion Score4.44—Unverified
3Neural HMMMean Opinion Score3.24—Unverified
4Neural HMM Ablation with 1 state per phoneMean Opinion Score2.68—Unverified
#ModelMetricClaimedVerifiedStatus
1WaveNet (L+F)Mean Opinion Score4.08—Unverified
2LSTM-RNN parametricMean Opinion Score3.79—Unverified
3HMM-driven concatenativeMean Opinion Score3.47—Unverified
#ModelMetricClaimedVerifiedStatus
1SampleRNN (2-tier)NLL1.39—Unverified
2SampleRNN (3-tier)NLL1.39—Unverified