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 125 of 332 papers

TitleStatusHype
Neural Codec Language Models are Zero-Shot Text to Speech SynthesizersCode7
PaddleSpeech: An Easy-to-Use All-in-One Speech ToolkitCode6
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-SpeechCode6
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language ModelingCode5
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task LearningCode5
Enhancing Suno's Bark Text-to-Speech Model: Addressing Limitations Through Meta's Encodec and Pre-Trained HubertCode4
ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow MatchingCode4
Matcha-TTS: A fast TTS architecture with conditional flow matchingCode3
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-SpeechCode3
MoonCast: High-Quality Zero-Shot Podcast GenerationCode3
EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-SpeechCode2
Efficient Neural Audio SynthesisCode2
Neural Speech Synthesis with Transformer NetworkCode2
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogramCode2
FastSpeech: Fast,Robustand Controllable Text-to-SpeechCode2
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTCode2
Lina-Speech: Gated Linear Attention is a Fast and Parameter-Efficient Learner for text-to-speech synthesisCode2
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency ModelsCode2
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous SpeechCode2
DiffSinger: Singing Voice Synthesis via Shallow Diffusion MechanismCode2
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech SynthesisCode2
FastSpeech: Fast, Robust and Controllable Text to SpeechCode2
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline FlowsCode2
FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech CodecCode2
Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody ModellingCode2
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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