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 81–90 of 332 papers

Title	Date	Tasks	Status
Controllable Accented Text-to-Speech Synthesis	Sep 22, 2022	Speech Synthesistext-to-speech	—Unverified
A unified front-end framework for English text-to-speech synthesis	May 18, 2023	Speech SynthesisText Normalization	—Unverified
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era	Oct 6, 2022	Speech Synthesistext-to-speech	—Unverified
Continual Speaker Adaptation for Text-to-Speech Synthesis	Mar 26, 2021	Continual LearningDiversity	—Unverified
Conditioning Sequence-to-sequence Networks with Learned Activations	Sep 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Unified Framework for Collecting Text-to-Speech Synthesis Datasets for 22 Indian Languages	Oct 18, 2024	Speech Synthesistext-to-speech	—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
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech	Jul 31, 2023	Acoustic ModellingSpeech Synthesis	—Unverified
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions	Jun 4, 2025	Data AugmentationDiversity	—Unverified
A distributed cloud-based dialog system for conversational application development	Sep 1, 2015	Speech RecognitionSpeech Synthesis	—Unverified

Show:10 25 50

← PrevPage 9 of 34Next →

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