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 551–575 of 1249 papers

TitleStatusHype
Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment—0
AutoLV: Automatic Lecture Video Generator—0
Deep Speech Synthesis from Articulatory Features—0
Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model—0
AdaVocoder: Adaptive Vocoder for Custom Voice—0
Deep Performer: Score-to-Audio Music Performance Synthesis—0
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling—0
A Unified Transformer-based Framework for Duplex Text Normalization—0
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts—0
A Unified Speaker Adaptation Method for Speech Synthesis using Transcribed and Untranscribed Speech with Backpropagation—0
Analysis of Voice Conversion and Code-Switching Synthesis Using VQ-VAE—0
Accented Text-to-Speech Synthesis with Limited Data—0
Improving speech synthesis quality by reducing pitch peaks in the source recordings—0
A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis—0
Analysis of artifacts in EEG signals for building BCIs—0
Deep Feed-forward Sequential Memory Networks for Speech Synthesis—0
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis—0
A unified lexical processing framework based on the Margin Infused Relaxed Algorithm. A case study on the Romanian Language—0
A Data-Driven Investigation of Noise-Adaptive Utterance Generation with Linguistic Modification—0
Deep Denoising Auto-encoder for Statistical Speech Synthesis—0
DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding—0
A unified front-end framework for English text-to-speech synthesis—0
Decoupled Pronunciation and Prosody Modeling in Meta-Learning-Based Multilingual Speech Synthesis—0
Debatts: Zero-Shot Debating Text-to-Speech Synthesis—0
A Unified Framework for Collecting Text-to-Speech Synthesis Datasets for 22 Indian Languages—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