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 51–60 of 332 papers

Title	Date	Tasks	Status	Hype	Score
Fine-grained style control in Transformer-based Text-to-speech Synthesis	Oct 12, 2021	Inductive BiasSpeech Synthesis	CodeCode Available	1	5
Exploring Transfer Learning for Low Resource Emotional TTS	Jan 14, 2019	Deep LearningEmotional Speech Synthesis	CodeCode Available	1	5
ArTST: Arabic Text and Speech Transformer	Oct 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1	5
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models	May 21, 2025	Bayesian OptimizationSpeech Synthesis	CodeCode Available	1	5
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech	Jun 8, 2020	Knowledge DistillationSpeech Synthesis	CodeCode Available	1	5
OverFlow: Putting flows on top of neural transducers for better TTS	Nov 13, 2022	Normalising FlowsSpeech Synthesis	CodeCode Available	1	5
End-to-End Adversarial Text-to-Speech	Jun 5, 2020	Adversarial TextDynamic Time Warping	CodeCode Available	1	5
Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion	Aug 13, 2020	Speech Synthesistext-to-speech	CodeCode Available	1	5
UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal Prompts	Apr 29, 2024	Contrastive LearningSpeech Synthesis	CodeCode Available	1	5
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention	Oct 24, 2017	text-to-speechText to Speech	CodeCode Available	1	5

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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