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 476–500 of 1249 papers

TitleStatusHype
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis—0
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement—0
ChatGPT in the context of precision agriculture data analyticsCode0
On the Opportunities of Green Computing: A Survey—0
Boosting Multi-Speaker Expressive Speech Synthesis with Semi-supervised Contrastive Learning—0
Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions—0
Generative Pre-training for Speech with Flow Matching—0
Energy-Based Models For Speech Synthesis—0
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations—0
Attentive Multi-Layer Perceptron for Non-autoregressive GenerationCode0
Speaking rate attention-based duration prediction for speed control TTS—0
Privacy-oriented manipulation of speaker representations—0
Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised settingCode0
Neutral TTS Female Voice Corpus in Brazilian Portuguese—0
Latent Filling: Latent Space Data Augmentation for Zero-shot Speech Synthesis—0
The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains—0
High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models—0
Collaborative Watermarking for Adversarial Speech Synthesis—0
Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping—0
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis—0
A Discourse-level Multi-scale Prosodic Model for Fine-grained Emotion Analysis—0
Speak While You Think: Streaming Speech Synthesis During Text Generation—0
Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition—0
Exploring Speech Enhancement for Low-resource Speech Synthesis—0
Speech Synthesis By Unrolling Diffusion Process using Neural Network Layers—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