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 201–210 of 332 papers

Title	Date	Tasks	Status	Hype
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input	Feb 19, 2021	Language ModelingLanguage Modelling	—Unverified	0
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention	Feb 12, 2021	Speech Synthesistext-to-speech	—Unverified	0
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning	Feb 10, 2021	Speech Synthesistext-to-speech	—Unverified	0
Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet	Jan 30, 2021	CPUSentence	—Unverified	0
Parallel WaveNet conditioned on VAE latent vectors	Dec 17, 2020	SentenceSpeech Synthesis	—Unverified	0
Using previous acoustic context to improve Text-to-Speech synthesis	Dec 7, 2020	DecoderSpeech Synthesis	—Unverified	0
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities	Dec 1, 2020	Chinese Word SegmentationSpeech Synthesis	CodeCode Available	1
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS	Nov 10, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Fine-grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement	Nov 8, 2020	DisentanglementSpeech Synthesis	—Unverified	0
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis	Nov 6, 2020	DecoderSpeech 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