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

Showing 12261249 of 1249 papers

TitleStatusHype
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial NetworksCode0
Deep Voice 2: Multi-Speaker Neural Text-to-SpeechCode0
STC Antispoofing Systems for the ASVspoof2019 ChallengeCode0
DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech SynthesisCode0
Hierarchical Generative Modeling for Controllable Speech SynthesisCode0
Learning pronunciation from a foreign language in speech synthesis networksCode0
Learning latent representations for style control and transfer in end-to-end speech synthesisCode0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Half-Truth: A Partially Fake Audio Detection DatasetCode0
Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech RecognitionCode0
Language Technology Programme for Icelandic 2019-2023Code0
WavLM model ensemble for audio deepfake detectionCode0
The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio DetectionCode0
Direct speech-to-speech translation with a sequence-to-sequence modelCode0
Why We Should Report the Details in Subjective Evaluation of TTS More RigorouslyCode0
Deep Residual Neural Networks for Audio Spoofing DetectionCode0
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogramCode0
FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech SynthesisCode0
fairseq S^2: A Scalable and Integrable Speech Synthesis ToolkitCode0
DeepGesture: A conversational gesture synthesis system based on emotions and semanticsCode0
A Critical Review of Recurrent Neural Networks for Sequence LearningCode0
Time out of Mind: Generating Rate of Speech conditioned on emotion and speakerCode0
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesisCode0
JSSS: free Japanese speech corpus for summarization and simplificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PeriodWave-Turbo-LPESQ4.45Unverified
2BigVGAN-v2PESQ4.36Unverified
3EVA-GAN-bigPESQ4.35Unverified
4PeriodWave + FreeUPESQ4.25Unverified
5RFWavePESQ4.23Unverified
6BigVSAN (w/ snakebeta)PESQ4.12Unverified
7BigVSANPESQ4.12Unverified
8EVA-GAN-basePESQ4.03Unverified
9BigVGANPESQ4.03Unverified
10VocosPESQ3.7Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score4.53Unverified
2WaveNet (Linguistic)Mean Opinion Score4.34Unverified
3WaveNet (L+F)Mean Opinion Score4.21Unverified
4TacotronMean Opinion Score4Unverified
5HMM-driven concatenativeMean Opinion Score3.86Unverified
6LSTM-RNN parametricMean Opinion Score3.67Unverified
7meansMean Opinion Score0Unverified
#ModelMetricClaimedVerifiedStatus
1BDDM vocoderMean Opinion Score4.48Unverified
2DiffWave LARGEMean Opinion Score4.44Unverified
3Neural HMMMean Opinion Score3.24Unverified
4Neural HMM Ablation with 1 state per phoneMean Opinion Score2.68Unverified
#ModelMetricClaimedVerifiedStatus
1WaveNet (L+F)Mean Opinion Score4.08Unverified
2LSTM-RNN parametricMean Opinion Score3.79Unverified
3HMM-driven concatenativeMean Opinion Score3.47Unverified
#ModelMetricClaimedVerifiedStatus
1SampleRNN (2-tier)NLL1.39Unverified
2SampleRNN (3-tier)NLL1.39Unverified