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 276300 of 1249 papers

TitleStatusHype
StreamVC: Real-Time Low-Latency Voice Conversion0
Incremental FastPitch: Chunk-based High Quality Text to Speech0
Boosting Large Language Model for Speech Synthesis: An Empirical Study0
Normalization of Lithuanian Text Using Regular Expressions0
Creating New Voices using Normalizing Flows0
BrainTalker: Low-Resource Brain-to-Speech Synthesis with Transfer Learning using Wav2Vec 2.00
Evaluating Speech-in-Speech Perception via a Humanoid Robot0
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context ModelingCode1
StyleSpeech: Self-supervised Style Enhancing with VQ-VAE-based Pre-training for Expressive Audiobook Speech Synthesis0
MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis0
CONCSS: Contrastive-based Context Comprehension for Dialogue-appropriate Prosody in Conversational Speech Synthesis0
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionCode1
Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realismCode1
Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks0
An Experimental Study: Assessing the Combined Framework of WavLM and BEST-RQ for Text-to-Speech Synthesis0
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis0
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints0
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Guided Flows for Generative Modeling and Decision Making0
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
APNet2: High-quality and High-efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase SpectraCode1
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis0
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement0
ChatGPT in the context of precision agriculture data analyticsCode0
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
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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