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

Showing 151–175 of 1249 papers

TitleStatusHype
RF-Next: Efficient Receptive Field Search for Convolutional Neural NetworksCode1
TranSpeech: Speech-to-Speech Translation With Bilateral PerturbationCode1
End-to-End Zero-Shot Voice Conversion with Location-Variable ConvolutionsCode1
Deep Learning Enabled Semantic Communications with Speech Recognition and SynthesisCode1
SVTS: Scalable Video-to-Speech SynthesisCode1
Requirements and Motivations of Low-Resource Speech Synthesis for Language RevitalizationCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Lip to Speech Synthesis with Visual Context Attentional GANCode1
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversionCode1
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech RecognitionCode1
A^3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and EditingCode1
VocBench: A Neural Vocoder Benchmark for Speech SynthesisCode1
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyoneCode1
Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-SpeechCode1
Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder FrameworkCode1
ITAcotron 2: Transfering English Speech Synthesis Architectures and Speech Features to ItalianCode1
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech DetectionCode1
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language ProcessingCode1
Fine-grained style control in Transformer-based Text-to-speech SynthesisCode1
Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-SpeechCode1
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech SynthesisCode1
Mixer-TTS: non-autoregressive, fast and compact text-to-speech model conditioned on language model embeddingsCode1
EdiTTS: Score-based Editing for Controllable Text-to-SpeechCode1
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling SchemeCode1
Neural HMMs are all you need (for high-quality attention-free TTS)Code1
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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