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 221–230 of 332 papers

Title	Date	Tasks	Status
Continual Speaker Adaptation for Text-to-Speech Synthesis	Mar 26, 2021	Continual LearningDiversity	—Unverified
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input	Feb 19, 2021	Language ModelingLanguage Modelling	—Unverified
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention	Feb 12, 2021	Speech Synthesistext-to-speech	—Unverified
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning	Feb 10, 2021	Speech Synthesistext-to-speech	—Unverified
Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet	Jan 30, 2021	CPUSentence	—Unverified
Parallel WaveNet conditioned on VAE latent vectors	Dec 17, 2020	SentenceSpeech Synthesis	—Unverified
Using previous acoustic context to improve Text-to-Speech synthesis	Dec 7, 2020	DecoderSpeech Synthesis	—Unverified
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS	Nov 10, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fine-grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement	Nov 8, 2020	DisentanglementSpeech Synthesis	—Unverified
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework	Nov 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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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