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 626–650 of 1249 papers

TitleStatusHype
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks—0
Semi-Supervised Learning Based on Reference Model for Low-resource TTS—0
A Data-Driven Investigation of Noise-Adaptive Utterance Generation with Linguistic Modification—0
Simple and Effective Unsupervised Speech Translation—0
Empirical Study Incorporating Linguistic Knowledge on Filled Pauses for Personalized Spontaneous Speech SynthesisCode0
Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario—0
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era—0
The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio DetectionCode0
Fully Unsupervised Training of Few-shot Keyword Spotting—0
Unsupervised Multi-scale Expressive Speaking Style Modeling with Hierarchical Context Information for Audiobook Speech Synthesis—0
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models—0
Controllable Accented Text-to-Speech Synthesis—0
An Initial study on Birdsong Re-synthesis Using Neural Vocoders—0
AutoLV: Automatic Lecture Video Generator—0
ConvNeXt Based Neural Network for Audio Anti-SpoofingCode0
Decoupled Pronunciation and Prosody Modeling in Meta-Learning-Based Multilingual Speech Synthesis—0
Automated detection of pronunciation errors in non-native English speech employing deep learning—0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State TransducersCode0
Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild—0
Audio Deepfake Attribution: An Initial Dataset and Investigation—0
Speech Synthesis with Mixed Emotions—0
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis—0
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation—0
Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis—0
Controllable Data Generation by Deep Learning: A Review—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