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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 161–170 of 332 papers

Title	Date	Tasks	Status	Hype
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows	Mar 3, 2022	Speech Synthesistext-to-speech	CodeCode Available	2
Deep Performer: Score-to-Audio Music Performance Synthesis	Feb 12, 2022	DecoderSpeech Synthesis	—Unverified	0
Multi-Stage Deep Transfer Learning for EmIoT-enabled Human-Computer Interaction	Feb 3, 2022	Human-Object Interaction Detectiontext-to-speech	—Unverified	0
Transformer-based Models of Text Normalization for Speech Applications	Feb 1, 2022	SentenceSpeech Synthesis	—Unverified	0
Multi-speaker Multi-style Text-to-speech Synthesis With Single-speaker Single-style Training Data Scenarios	Dec 23, 2021	DiversitySpeech Synthesis	—Unverified	0
Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus	Dec 20, 2021	Audio GenerationSinging Voice Synthesis	CodeCode Available	1
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone	Dec 4, 2021	Speech SynthesisText-To-Speech Synthesis	CodeCode Available	1
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance	Nov 23, 2021	speech-recognitionSpeech Recognition	—Unverified	0
Systematic Inequalities in Language Technology Performance across the World's Languages	Oct 13, 2021	Dependency ParsingMachine Translation	CodeCode Available	0
Fine-grained style control in Transformer-based Text-to-speech Synthesis	Oct 12, 2021	Inductive BiasSpeech Synthesis	CodeCode Available	1

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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