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 26–50 of 1249 papers

TitleStatusHype
Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling—0
GSA-TTS : Toward Zero-Shot Speech Synthesis based on Gradual Style Adaptor—0
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech—0
Revival with Voice: Multi-modal Controllable Text-to-Speech Synthesis—0
RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations—0
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-trainingCode11
MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling—0
Accelerating Autoregressive Speech Synthesis Inference With Speech Speculative Decoding—0
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsCode1
Pairwise Evaluation of Accent Similarity in Speech Synthesis—0
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation—0
Articulatory Feature Prediction from Surface EMG during Speech ProductionCode0
Efficient Speech Language Modeling via Energy Distance in Continuous Latent SpaceCode2
RoVo: Robust Voice Protection Against Unauthorized Speech Synthesis with Embedding-Level Perturbations—0
OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching—0
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis—0
UDDETTS: Unifying Discrete and Dimensional Emotions for Controllable Emotional Text-to-Speech—0
DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis—0
Investigating self-supervised features for expressive, multilingual voice conversion—0
Lightweight End-to-end Text-to-speech Synthesis for low resource on-device applications—0
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech SynthesisCode3
Towards Flow-Matching-based TTS without Classifier-Free Guidance—0
AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation—0
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements—0
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning—0
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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