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

Showing 11511175 of 1249 papers

TitleStatusHype
An In-depth Analysis of the Effect of Text Normalization in Social Media0
Normalization of Non-Standard Words in Croatian Texts0
F0 Modeling In Hmm-Based Speech Synthesis System Using Deep Belief Network0
Sequence Modeling using Gated Recurrent Neural Networks0
Duration Modeling by Multi-Models based on Vowel Production characteristics0
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis0
基於發音知識以建構頻譜HMM 之國語語音合成方法 (A Mandarin Speech Synthesis Method Using Articulation-knowledge Based Spectral HMM Structure)[In Chinese]0
A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis0
An Algorithm Based on Empirical Methods, for Text-to-Tuneful-Speech Synthesis of Sanskrit Verse0
Speech earthquakes: scaling and universality in human voice0
Situated Incremental Natural Language Understanding using a Multimodal, Linguistically-driven Update Model0
Learning to Summarise Related Sentences0
A Bengali HMM Based Speech Synthesis System0
Hippocratic Abbreviation Expansion0
MVA: The Multimodal Virtual Assistant0
An Expert System for Automatic Reading of A Text Written in Standard Arabic0
RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus0
Casa de la Lh\'engua: a set of language resources and natural language processing tools for Mirandese0
Designing the Latvian Speech Recognition Corpus0
Alert!... Calm Down, There is Nothing to Worry About. Warning and Soothing Speech Synthesis.0
The MMASCS multi-modal annotated synchronous corpus of audio, video, facial motion and tongue motion data of normal, fast and slow speech0
Using a machine learning model to assess the complexity of stress systems0
GlobalPhone: Pronunciation Dictionaries in 20 Languages0
Using Audio Books for Training a Text-to-Speech System0
HESITA(te) in Portuguese0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PeriodWave-Turbo-LPESQ4.45Unverified
2BigVGAN-v2PESQ4.36Unverified
3EVA-GAN-bigPESQ4.35Unverified
4PeriodWave + FreeUPESQ4.25Unverified
5RFWavePESQ4.23Unverified
6BigVSAN (w/ snakebeta)PESQ4.12Unverified
7BigVSANPESQ4.12Unverified
8EVA-GAN-basePESQ4.03Unverified
9BigVGANPESQ4.03Unverified
10VocosPESQ3.7Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score4.53Unverified
2WaveNet (Linguistic)Mean Opinion Score4.34Unverified
3WaveNet (L+F)Mean Opinion Score4.21Unverified
4TacotronMean Opinion Score4Unverified
5HMM-driven concatenativeMean Opinion Score3.86Unverified
6LSTM-RNN parametricMean Opinion Score3.67Unverified
7meansMean Opinion Score0Unverified
#ModelMetricClaimedVerifiedStatus
1BDDM vocoderMean Opinion Score4.48Unverified
2DiffWave LARGEMean Opinion Score4.44Unverified
3Neural HMMMean Opinion Score3.24Unverified
4Neural HMM Ablation with 1 state per phoneMean Opinion Score2.68Unverified
#ModelMetricClaimedVerifiedStatus
1WaveNet (L+F)Mean Opinion Score4.08Unverified
2LSTM-RNN parametricMean Opinion Score3.79Unverified
3HMM-driven concatenativeMean Opinion Score3.47Unverified
#ModelMetricClaimedVerifiedStatus
1SampleRNN (2-tier)NLL1.39Unverified
2SampleRNN (3-tier)NLL1.39Unverified