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 576–600 of 1249 papers

TitleStatusHype
An Initial study on Birdsong Re-synthesis Using Neural Vocoders—0
Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis—0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
完全基於類神經網路之語音合成系統初步研究 (A Preliminary Study on Fully Neural Network-based Speech Synthesis System) [In Chinese]—0
Disentangling Correlated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization—0
Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS—0
Direct Simultaneous Speech-to-Speech Translation with Variational Monotonic Multihead Attention—0
BAD: An Assistant tool for making verses in Basque—0
An In-depth Analysis of the Effect of Text Normalization in Social Media—0
A Waveform Representation Framework for High-quality Statistical Parametric Speech Synthesis—0
AV-Flow: Transforming Text to Audio-Visual Human-like Interactions—0
An explainability study of the constant Q cepstral coefficient spoofing countermeasure for automatic speaker verification—0
Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters—0
Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis—0
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech—0
An Expert System for Automatic Reading of A Text Written in Standard Arabic—0
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs—0
AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling—0
A Variational EM Method for Pole-Zero Modeling of Speech with Mixed Block Sparse and Gaussian Excitation—0
DiffCSS: Diverse and Expressive Conversational Speech Synthesis with Diffusion Models—0
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech—0
AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis—0
An Experimental Study: Assessing the Combined Framework of WavLM and BEST-RQ for Text-to-Speech Synthesis—0
A distributed cloud-based dialog system for conversational application development—0
Dictionary Update for NMF-based Voice Conversion Using an Encoder-Decoder Network—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