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 76–100 of 1249 papers

TitleStatusHype
NaturalL2S: End-to-End High-quality Multispeaker Lip-to-Speech Synthesis with Differential Digital Signal Processing—0
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond—0
FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow Matching—0
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech—0
LoRP-TTS: Low-Rank Personalized Text-To-Speech—0
Non-invasive electromyographic speech neuroprosthesis: a geometric perspective—0
Gender Bias in Instruction-Guided Speech Synthesis Models—0
Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech SynthesisCode4
Developing multilingual speech synthesis system for Ojibwe, Mi'kmaq, and MaliseetCode1
Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis—0
Compact Neural TTS Voices for Accessibility—0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement—0
A Non-autoregressive Model for Joint STT and TTS—0
Speech Synthesis along Perceptual Voice Quality Dimensions—0
Exploring the encoding of linguistic representations in the Fully-Connected Layer of generative CNNs for Speech—0
Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech SynthesisCode1
PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control—0
Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron—0
TTS-Transducer: End-to-End Speech Synthesis with Neural Transducer—0
AnCoGen: Analysis, Control and Generation of Speech with a Masked AutoencoderCode1
Probing Speaker-specific Features in Speaker Representations—0
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis—0
FleSpeech: Flexibly Controllable Speech Generation with Various Prompts—0
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech SynthesisCode2
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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