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
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models—0
Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech—0
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks—0
Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS—0
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram—0
Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?—0
Cross-Utterance Conditioned VAE for Speech Generation—0
MuLanTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2023—0
The FruitShell French synthesis system at the Blizzard 2023 Challenge—0
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis—0
The DeepZen Speech Synthesis System for Blizzard Challenge 2023—0
Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations—0
TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition—0
AffectEcho: Speaker Independent and Language-Agnostic Emotion and Affect Transfer for Speech Synthesis—0
Accurate synthesis of Dysarthric Speech for ASR data augmentation—0
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN—0
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis—0
On Error Propagation of Diffusion Models—0
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS—0
SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis—0
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech—0
Audio-visual video-to-speech synthesis with synthesized input audio—0
METTS: Multilingual Emotional Text-to-Speech by Cross-speaker and Cross-lingual Emotion Transfer—0
Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding—0
An analysis on the effects of speaker embedding choice in non auto-regressive TTS—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