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 876–900 of 1249 papers

TitleStatusHype
A Preliminary Study on Deep Learning-based Chinese Text to Taiwanese Speech Synthesis System—0
Efficient neural speech synthesis for low-resource languages through multilingual modeling—0
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit—0
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS—0
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition—0
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling—0
Controllable Neural Prosody Synthesis—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes—0
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain—0
Audiovisual Speech Synthesis using Tacotron2—0
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture—0
Prosodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis—0
Recurrent Quantum Neural NetworksCode0
Normalizing Text using Language Modelling based on Phonetics and String Similarity—0
Articulatory-WaveNet: Autoregressive Model For Acoustic-to-Articulatory Inversion—0
SE-MelGAN -- Speaker Agnostic Rapid Speech Enhancement—0
Analysis and Synthesis of Hypo and Hyperarticulated Speech—0
\'Etude comparative des param\`etres d'entr\'ee pour la synth\`ese expressive audiovisuelle de la parole par DNNs (Comparative study of input parameters for DNN-based expressive audiovisual speech synthesis )—0
A comparison of Vietnamese Statistical Parametric Speech Synthesis Systems—0
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement—0
Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge—0
NAUTILUS: a Versatile Voice Cloning System—0
Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario—0
Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis—0
Show:102550
← PrevPage 36 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