SOTAVerified

Text-To-Speech Synthesis

Text-To-Speech Synthesis is a machine learning task that involves converting written text into spoken words. The goal is to generate synthetic speech that sounds natural and resembles human speech as closely as possible.

Papers

Showing 151160 of 332 papers

TitleStatusHype
Do Prosody Transfer Models Transfer Prosody?0
Autoregressive Speech Synthesis without Vector Quantization0
A Review of Deep Learning Techniques for Speech Processing0
Investigation of Japanese PnG BERT language model in text-to-speech synthesis for pitch accent language0
Large tagset labeling using Feed Forward Neural Networks. Case study on Romanian Language0
DNN-based Speech Synthesis for Indian Languages from ASCII text0
LDC Forced Aligner0
Applying Syntaxx2013Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis0
Investigating Inter- and Intra-speaker Voice Conversion using Audiobooks0
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NaturalSpeechAudio Quality MOS4.56Unverified
2VITSAudio Quality MOS4.43Unverified
3Grad-TTS + HiFiGAN (1000 steps)Audio Quality MOS4.37Unverified
4FastSpeech 2 + HiFiGANAudio Quality MOS4.34Unverified
5Glow-TTS + HiFiGANAudio Quality MOS4.34Unverified
6FastSpeech 2 + HiFiGANAudio Quality MOS4.32Unverified
7FastDiff (4 steps)Audio Quality MOS4.28Unverified
8FastDiff-TTSAudio Quality MOS4.03Unverified
9Transformer TTS (Mel + WaveGlow)Audio Quality MOS3.88Unverified
10FastSpeech (Mel + WaveGlow)Audio Quality MOS3.84Unverified
#ModelMetricClaimedVerifiedStatus
1Mia10-keyword Speech Commands dataset16Unverified
#ModelMetricClaimedVerifiedStatus
1Token-Level Ensemble DistillationPhoneme Error Rate4.6Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score3.74Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score3.49Unverified
#ModelMetricClaimedVerifiedStatus
1Match-TTSGMOS3.7Unverified