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 251–260 of 332 papers

Title	Date	Tasks	Status	Hype
Neural Models of Text Normalization for Speech Applications	Jun 1, 2019	BIG-bench Machine LearningSpeech Synthesis	—Unverified	0
Neural Text Normalization with Subword Units	Jun 1, 2019	Machine TranslationNatural Language Understanding	—Unverified	0
FastSpeech: Fast,Robustand Controllable Text-to-Speech	May 22, 2019	Decodertext-to-speech	CodeCode Available	2
FastSpeech: Fast, Robust and Controllable Text to Speech	May 22, 2019	DecoderSpeech Synthesis	CodeCode Available	2
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems	May 21, 2019	parameter estimationSpeech Synthesis	CodeCode Available	0
Non-Autoregressive Neural Text-to-Speech	May 21, 2019	text-to-speechText to Speech	CodeCode Available	0
Direct speech-to-speech translation with a sequence-to-sequence model	Apr 12, 2019	Speech SynthesisSpeech-to-Speech Translation	CodeCode Available	0
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion	Apr 6, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data	Apr 4, 2019	Speech Synthesistext-to-speech	CodeCode Available	1
Speech denoising by parametric resynthesis	Apr 2, 2019	DenoisingResynthesis	—Unverified	0

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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