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 501–525 of 1249 papers

TitleStatusHype
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis—0
Fully Unsupervised Training of Few-shot Keyword Spotting—0
Empirical Analysis of Oral and Nasal Vowels of Konkani—0
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis—0
GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis—0
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks—0
Building Text-to-Speech Systems for Resource Poor Languages—0
Applying Automated Machine Translation to Educational Video Courses—0
Gender Bias in Instruction-Guided Speech Synthesis Models—0
Generacion de voces artificiales infantiles en castellano con acento costarricense—0
A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis—0
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model—0
Building Synthetic Voices in the META-NET Framework—0
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition—0
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments—0
A Post Auto-regressive GAN Vocoder Focused on Spectrum Fracture—0
EmoPro: A Prompt Selection Strategy for Emotional Expression in LM-based Speech Synthesis—0
Building Open Javanese and Sundanese Corpora for Multilingual Text-to-Speech—0
Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization—0
Building A User-Centric and Content-Driven Socialbot—0
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS—0
Building a synchronous corpus of acoustic and 3D facial marker data for adaptive audio-visual speech synthesis—0
Eigenresiduals for improved Parametric Speech Synthesis—0
ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks—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