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 351–400 of 1249 papers

TitleStatusHype
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era—0
A Comparison of Deep Learning MOS Predictors for Speech Synthesis Quality—0
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—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
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis—0
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis—0
A Non-autoregressive Model for Joint STT and TTS—0
Adversarial Attacks and Robust Defenses in Speaker Embedding based Zero-Shot Text-to-Speech System—0
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback—0
Duration Modeling by Multi-Models based on Vowel Production characteristics—0
Dual Script E2E framework for Multilingual and Code-Switching ASR—0
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design—0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction—0
DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech—0
Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech Synthesis in ASR—0
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis—0
DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis—0
Do Prosody Transfer Models Transfer Prosody?—0
On Error Propagation of Diffusion Models—0
Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection—0
BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models—0
DNN Filter Bank Cepstral Coefficients for Spoofing Detection—0
ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis—0
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model—0
An Objective Evaluation Framework for Pathological Speech Synthesis—0
Advancing Speech Synthesis using EEG—0
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment—0
Effect of data reduction on sequence-to-sequence neural TTS—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus—0
DNN-based Speech Synthesis for Indian Languages from ASCII text—0
DNN-based Speaker Embedding Using Subjective Inter-speaker Similarity for Multi-speaker Modeling in Speech Synthesis—0
Bayesian Subspace HMM for the Zerospeech 2020 Challenge—0
結合ANN、全域變異數與真實軌跡挑選之基週軌跡產生方法(A Pitch-contour Generation Method Combining ANN Prediction,Global Variance Matching, and Real-contour Selection)[In Chinese]—0
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis—0
ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks—0
Eigenresiduals for improved Parametric Speech Synthesis—0
An Initial study on Birdsong Re-synthesis Using Neural Vocoders—0
Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach—0
Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis—0
Balancing Speech Understanding and Generation Using Continual Pre-training for Codec-based Speech LLM—0
EmoPro: A Prompt Selection Strategy for Emotional Expression in LM-based Speech Synthesis—0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition—0
Energy-Based Models For Speech Synthesis—0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model—0
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis—0
Enhancing audio quality for expressive Neural Text-to-Speech—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