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 251–275 of 1249 papers

TitleStatusHype
OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive AlignmentCode0
Seeing Voices: Generating A-Roll Video from Audio with Mirage—0
HiFiTTS-2: A Large-Scale High Bandwidth Speech Dataset—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—0
Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions—0
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech—0
SALF-MOS: Speaker Agnostic Latent Features Downsampled for MOS Prediction—0
Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models—0
Chain-of-Thought Training for Open E2E Spoken Dialogue Systems—0
BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models—0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis—0
Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling—0
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech—0
GSA-TTS : Toward Zero-Shot Speech Synthesis based on Gradual Style Adaptor—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
Accelerating Autoregressive Speech Synthesis Inference With Speech Speculative Decoding—0
MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling—0
Articulatory Feature Prediction from Surface EMG during Speech ProductionCode0
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
OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching—0
RoVo: Robust Voice Protection Against Unauthorized Speech Synthesis with Embedding-Level Perturbations—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
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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