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 951–975 of 1249 papers

TitleStatusHype
Whispered and Lombard Neural Speech Synthesis—0
Whither the Priors for (Vocal) Interactivity?—0
WinkTalk: a demonstration of a multimodal speech synthesis platform linking facial expressions to expressive synthetic voices—0
WOLONet: Wave Outlooker for Efficient and High Fidelity Speech Synthesis—0
Word-Level Style Control for Expressive, Non-attentive Speech Synthesis—0
應用文脈分析於中英夾雜語音合成系統(Linguistic Analysis for English/Mandarin Speech Synthesis System)—0
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation—0
Zero-Shot Long-Form Voice Cloning with Dynamic Convolution Attention—0
Zero-Shot Mono-to-Binaural Speech Synthesis—0
Zero-shot personalized lip-to-speech synthesis with face image based voice control—0
Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling—0
Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model—0
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models—0
整合語者嵌入向量與後置濾波器於提升個人化合成語音之語者相似度 (Incorporating Speaker Embedding and Post-Filter Network for Improving Speaker Similarity of Personalized Speech Synthesis System)—0
Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions—0
Pronunciation Dictionary-Free Multilingual Speech Synthesis by Combining Unsupervised and Supervised Phonetic Representations—0
Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis—0
Prosodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis—0
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech—0
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis—0
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit—0
Prosody-TTS: An end-to-end speech synthesis system with prosody control—0
Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis—0
Punjabi Text-To-Speech Synthesis System—0
PyDial: A Multi-domain Statistical Dialogue System Toolkit—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