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 776800 of 1249 papers

TitleStatusHype
Parallel WaveNet conditioned on VAE latent vectors0
Few Shot Adaptive Normalization Driven Multi-Speaker Speech Synthesis0
DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech SynthesisCode0
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy PreservationCode0
Using previous acoustic context to improve Text-to-Speech synthesis0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis0
German-Arabic Speech-to-Speech Translation for Psychiatric Diagnosis0
基於深度學習之中文文字轉台語語音合成系統初步探討 (A Preliminary Study on Deep Learning-based Chinese Text to Taiwanese Speech Synthesis System)0
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System0
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph EntitiesCode1
TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech SynthesisCode1
TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos0
Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis0
Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis0
Using GANs to Synthesise Minimum Training Data for Deepfake Generation0
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS0
Fine-grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement0
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis0
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesisCode1
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph EntitiesCode1
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework0
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech0
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time0
Training Wake Word Detection with Synthesized Speech Data on Confusion Words0
Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PeriodWave-Turbo-LPESQ4.45Unverified
2BigVGAN-v2PESQ4.36Unverified
3EVA-GAN-bigPESQ4.35Unverified
4PeriodWave + FreeUPESQ4.25Unverified
5RFWavePESQ4.23Unverified
6BigVSAN (w/ snakebeta)PESQ4.12Unverified
7BigVSANPESQ4.12Unverified
8EVA-GAN-basePESQ4.03Unverified
9BigVGANPESQ4.03Unverified
10VocosPESQ3.7Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score4.53Unverified
2WaveNet (Linguistic)Mean Opinion Score4.34Unverified
3WaveNet (L+F)Mean Opinion Score4.21Unverified
4TacotronMean Opinion Score4Unverified
5HMM-driven concatenativeMean Opinion Score3.86Unverified
6LSTM-RNN parametricMean Opinion Score3.67Unverified
7meansMean Opinion Score0Unverified
#ModelMetricClaimedVerifiedStatus
1BDDM vocoderMean Opinion Score4.48Unverified
2DiffWave LARGEMean Opinion Score4.44Unverified
3Neural HMMMean Opinion Score3.24Unverified
4Neural HMM Ablation with 1 state per phoneMean Opinion Score2.68Unverified
#ModelMetricClaimedVerifiedStatus
1WaveNet (L+F)Mean Opinion Score4.08Unverified
2LSTM-RNN parametricMean Opinion Score3.79Unverified
3HMM-driven concatenativeMean Opinion Score3.47Unverified
#ModelMetricClaimedVerifiedStatus
1SampleRNN (2-tier)NLL1.39Unverified
2SampleRNN (3-tier)NLL1.39Unverified