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
DiffCSS: Diverse and Expressive Conversational Speech Synthesis with Diffusion Models—0
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech—0
GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis—0
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks—0
AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis—0
A distributed cloud-based dialog system for conversational application development—0
Gender Bias in Instruction-Guided Speech Synthesis Models—0
Generacion de voces artificiales infantiles en castellano con acento costarricense—0
Guided-TTS:Text-to-Speech with Untranscribed Speech—0
Dictionary Update for NMF-based Voice Conversion Using an Encoder-Decoder Network—0
Auto Spell Suggestion for High Quality Speech Synthesis in Hindi—0
Autoregressive Speech Synthesis without Vector Quantization—0
Development of Marathi Part of Speech Tagger Using Statistical Approach—0
A Discourse-level Multi-scale Prosodic Model for Fine-grained Emotion Analysis—0
Development of Mandarin-English code-switching speech synthesis system—0
Development and Evaluation of Speech Synthesis Corpora for Latvian—0
Autoregressive Speech Synthesis with Next-Distribution Prediction—0
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis—0
An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis—0
A Deterministic plus Stochastic Model of the Residual Signal for Improved Parametric Speech Synthesis—0
Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired—0
Designing the Latvian Speech Recognition Corpus—0
Designing Language Technology Applications: A Wizard of Oz Driven Prototyping Framework—0
Show:102550
← PrevPage 21 of 50Next →
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