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

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Showing 21–30 of 332 papers

Title	Date	Tasks	Status	Hype
StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis	May 30, 2022	Data AugmentationSelf-Supervised Learning	CodeCode Available	2
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech	May 15, 2022	Speech SynthesisStyle Transfer	CodeCode Available	2
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality	May 9, 2022	SentenceSpeech Synthesis	CodeCode Available	2
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis	Apr 21, 2022	DenoisingGPU	CodeCode Available	2
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform	Mar 4, 2022	Speech Synthesistext-to-speech	CodeCode Available	2
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows	Mar 3, 2022	Speech Synthesistext-to-speech	CodeCode Available	2
PortaSpeech: Portable and High-Quality Generative Text-to-Speech	Sep 30, 2021	text-to-speechText to Speech	CodeCode Available	2
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism	May 6, 2021	Generative Adversarial NetworkSinging Voice Synthesis	CodeCode Available	2
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram	Oct 25, 2019	Generative Adversarial NetworkGPU	CodeCode Available	2
FastSpeech: Fast, Robust and Controllable Text to Speech	May 22, 2019	DecoderSpeech Synthesis	CodeCode Available	2

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All datasets LJSpeech 20000 utterances CMUDict 0.7b HUI speech corpus Thorsten voice 21.02 neutral Trinity Speech-Gesture Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	NaturalSpeech	Audio Quality MOS	4.56	—	Unverified
2	VITS	Audio Quality MOS	4.43	—	Unverified
3	Grad-TTS + HiFiGAN (1000 steps)	Audio Quality MOS	4.37	—	Unverified
4	FastSpeech 2 + HiFiGAN	Audio Quality MOS	4.34	—	Unverified
5	Glow-TTS + HiFiGAN	Audio Quality MOS	4.34	—	Unverified
6	FastSpeech 2 + HiFiGAN	Audio Quality MOS	4.32	—	Unverified
7	FastDiff (4 steps)	Audio Quality MOS	4.28	—	Unverified
8	FastDiff-TTS	Audio Quality MOS	4.03	—	Unverified
9	Transformer TTS (Mel + WaveGlow)	Audio Quality MOS	3.88	—	Unverified
10	FastSpeech (Mel + WaveGlow)	Audio Quality MOS	3.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mia	10-keyword Speech Commands dataset	16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Token-Level Ensemble Distillation	Phoneme Error Rate	4.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tacotron 2	Mean Opinion Score	3.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tacotron 2	Mean Opinion Score	3.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Match-TTSG	MOS	3.7	—	Unverified