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 2650 of 332 papers

TitleStatusHype
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline FlowsCode2
PortaSpeech: Portable and High-Quality Generative Text-to-SpeechCode2
DiffSinger: Singing Voice Synthesis via Shallow Diffusion MechanismCode2
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogramCode2
FastSpeech: Fast, Robust and Controllable Text to SpeechCode2
FastSpeech: Fast,Robustand Controllable Text-to-SpeechCode2
Neural Speech Synthesis with Transformer NetworkCode2
Efficient Neural Audio SynthesisCode2
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsCode1
UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal PromptsCode1
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech SynthesisCode1
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
ArTST: Arabic Text and Speech TransformerCode1
QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation LearningCode1
Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech TranslationCode1
Multilingual Text-to-Speech Synthesis for Turkic Languages Using TransliterationCode1
Imaginary Voice: Face-styled Diffusion Model for Text-to-SpeechCode1
RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech SynthesisCode1
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis DatasetCode1
OverFlow: Putting flows on top of neural transducers for better TTSCode1
Accented Text-to-Speech Synthesis with a Conditional Variational AutoencoderCode1
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied BaselineCode1
Automatic Prosody Annotation with Pre-Trained Text-Speech ModelCode1
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech RecognitionCode1
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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