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 651675 of 1249 papers

TitleStatusHype
Assessing Evaluation Metrics for Speech-to-Speech Translation0
DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021Code0
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing FlowsCode0
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition0
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech DetectionCode1
From Start to Finish: Latency Reduction Strategies for Incremental Speech Synthesis in Simultaneous Speech-to-Speech Translation0
Direct Simultaneous Speech-to-Speech Translation with Variational Monotonic Multihead Attention0
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language ProcessingCode1
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation0
Systematic Inequalities in Language Technology Performance across the World's LanguagesCode0
DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding0
Fine-grained style control in Transformer-based Text-to-speech SynthesisCode1
LaughNet: synthesizing laughter utterances from waveform silhouettes and a single laughter example0
Using multiple reference audios and style embedding constraints for speech synthesis0
Towards Lifelong Learning of Multilingual Text-To-Speech SynthesisCode0
Environment Aware Text-to-Speech Synthesis0
Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-SpeechCode1
VisualTTS: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over0
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech SynthesisCode1
Cloning one's voice using very limited data in the wild0
Mixer-TTS: non-autoregressive, fast and compact text-to-speech model conditioned on language model embeddingsCode1
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks0
EdiTTS: Score-based Editing for Controllable Text-to-SpeechCode1
Prosody-TTS: An end-to-end speech synthesis system with prosody control0
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis0
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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