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 726–750 of 1249 papers

TitleStatusHype
Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-based Multi-modal Context ModelingCode1
Learning to Efficiently Sample from Diffusion Probabilistic Models—0
Mathematical Vocoder Algorithm : Modified Spectral Inversion for Efficient Neural Speech Synthesis—0
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis—0
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis—0
RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse SynthesisCode1
Dual Script E2E framework for Multilingual and Code-Switching ASR—0
NVC-Net: End-to-End Adversarial Voice ConversionCode0
Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to BanglaCode1
A Corpus of Neutral Voice Speech in Brazilian Portuguese—0
Speaker disentanglement in video-to-speech conversionCode0
Grad-TTS: A Diffusion Probabilistic Model for Text-to-SpeechCode1
Learning Robust Latent Representations for Controllable Speech Synthesis—0
Towards a practical lip-to-speech conversion system using deep neural networks and mobile application frontend—0
End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks—0
Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesisCode0
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion—0
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
Review of end-to-end speech synthesis technology based on deep learning—0
KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis DatasetCode1
TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration PredictionCode1
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis—0
Half-Truth: A Partially Fake Audio Detection DatasetCode0
Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features—0
Towards Multi-Scale Style Control for Expressive Speech Synthesis—0
Show:102550
← PrevPage 30 of 50Next →
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