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 526–550 of 1249 papers

TitleStatusHype
Automatic Syllabification for Manipuri language—0
Design and Development of Speech Corpora for Air Traffic Control Training—0
Design and development a children's speech database—0
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis—0
De l'utilisation de descripteurs issus de la linguistique computationnelle dans le cadre de la synth\`ese par HMM (Toward the use of information density based descriptive features in HMM based speech synthesis)—0
Automatic Prosody Prediction for Chinese Speech Synthesis using BLSTM-RNN and Embedding Features—0
An analysis on the effects of speaker embedding choice in non auto-regressive TTS—0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain—0
HMM-based Mandarin Singing Voice Synthesis Using Tailored Synthesis Units and Question Sets—0
Improved pronunciation prediction accuracy using morphology—0
Automatic Evaluation of Turn-taking Cues in Conversational Speech Synthesis—0
Deliberation Networks and How to Train Them—0
High-quality nonparallel voice conversion based on cycle-consistent adversarial network—0
An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System—0
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey—0
High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units—0
High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram—0
Automatically Acquiring Fine-Grained Information Status Distinctions in German—0
Deep Text-to-Speech System with Seq2Seq Model—0
A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis—0
Automated detection of pronunciation errors in non-native English speech employing deep learning—0
Deep Speech Synthesis from Multimodal Articulatory Representations—0
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation—0
High Fidelity Text-to-Speech Via Discrete Tokens Using Token Transducer and Group Masked Language Model—0
High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency—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