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 801–825 of 1249 papers

TitleStatusHype
Combining Manual and Automatic Prosodic Annotation for Expressive Speech Synthesis—0
Compact Neural TTS Voices for Accessibility—0
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech—0
Comparing performance of different set-covering strategies for linguistic content optimization in speech corpora—0
Complete reconstruction of the tongue contour through acoustic to articulatory inversion using real-time MRI data—0
Computer-Aided Quality Assurance of an Icelandic Pronunciation Dictionary—0
Computer-assisted Pronunciation Training -- Speech synthesis is almost all you need—0
CONCSS: Contrastive-based Context Comprehension for Dialogue-appropriate Prosody in Conversational Speech Synthesis—0
Conditional Spoken Digit Generation with StyleGAN—0
Conditioning Sequence-to-sequence Networks with Learned Activations—0
Construction of English-French Multimodal Affective Conversational Corpus from TV Dramas—0
Constructive Interaction for Talking about Interesting Topics—0
Contextual Expressive Text-to-Speech—0
Continual Speaker Adaptation for Text-to-Speech Synthesis—0
Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis—0
Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations—0
Continuous Expressive Speaking Styles Synthesis based on CVSM and MR-HMM—0
Continuous Speech Synthesis using per-token Latent Diffusion—0
Continuous Wavelet Vocoder-based Decomposition of Parametric Speech Waveform Synthesis—0
Controllable Accented Text-to-Speech Synthesis—0
Controllable Context-aware Conversational Speech Synthesis—0
Controllable Data Generation by Deep Learning: A Review—0
Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions—0
Controllable Neural Prosody Synthesis—0
Controllable neural text-to-speech synthesis using intuitive prosodic features—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