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 131–140 of 332 papers

Title	Date	Tasks	Status	Hype
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era	Oct 6, 2022	Speech Synthesistext-to-speech	—Unverified	0
Controllable Accented Text-to-Speech Synthesis	Sep 22, 2022	Speech Synthesistext-to-speech	—Unverified	0
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline	Sep 22, 2022	Speech Synthesistext-to-speech	CodeCode Available	1
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models	Sep 22, 2022	Speech Synthesistext-to-speech	—Unverified	0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers	Sep 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech	Jul 13, 2022	DenoisingGPU	CodeCode Available	3
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model	Jul 4, 2022	Language ModelingLanguage Modelling	—Unverified	0
R-MelNet: Reduced Mel-Spectral Modeling for Neural TTS	Jun 30, 2022	DecoderGPU	—Unverified	0
Automatic Prosody Annotation with Pre-Trained Text-Speech Model	Jun 16, 2022	Speech Synthesistext-to-speech	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