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 121–130 of 332 papers

Title	Date	Tasks	Status	Hype
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder	Dec 16, 2022	Representation LearningSpeech Synthesis	—Unverified	0
Investigation of Japanese PnG BERT language model in text-to-speech synthesis for pitch accent language	Dec 16, 2022	Language ModelingLanguage Modelling	—Unverified	0
RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis	Dec 15, 2022	RelationSpeech Synthesis	CodeCode Available	1
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset	Dec 11, 2022	Speech Synthesistext-to-speech	CodeCode Available	1
Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models	Nov 17, 2022	Speech Synthesistext-to-speech	—Unverified	0
Towards Building Text-To-Speech Systems for the Next Billion Users	Nov 17, 2022	DiversitySpeech Synthesis	CodeCode Available	2
OverFlow: Putting flows on top of neural transducers for better TTS	Nov 13, 2022	Normalising FlowsSpeech Synthesis	CodeCode Available	1
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech	Nov 7, 2022	Representation LearningSpeech Representation Learning	CodeCode Available	6
Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder	Nov 7, 2022	Speech Synthesistext-to-speech	CodeCode Available	1
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages	Nov 1, 2022	ChunkingRhythm	—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