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 126150 of 1249 papers

TitleStatusHype
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Lip-to-Speech Synthesis in the Wild with Multi-task LearningCode1
dMel: Speech Tokenization made SimpleCode1
Effective Deep Learning Models for Automatic Diacritization of Arabic TextCode1
EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novelsCode1
Lip to Speech Synthesis with Visual Context Attentional GANCode1
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
Digital Voicing of Silent SpeechCode1
Learning pronunciation from a foreign language in speech synthesis networksCode1
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker EmbeddingCode1
A^3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and EditingCode1
DiffWave: A Versatile Diffusion Model for Audio SynthesisCode1
A Neuro-AI Interface for Evaluating Generative Adversarial NetworksCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found DataCode1
AnCoGen: Analysis, Control and Generation of Speech with a Masked AutoencoderCode1
Accented Text-to-Speech Synthesis with a Conditional Variational AutoencoderCode1
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling SchemeCode1
Laughter Synthesis: Combining Seq2seq modeling with Transfer LearningCode1
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech SynthesisCode1
Detection of Prosodic Boundaries in Speech Using Wav2Vec 2.0Code1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis DatasetCode1
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Deep Learning Based Assessment of Synthetic Speech NaturalnessCode1
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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