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 31–40 of 332 papers

Title	Date	Tasks	Status	Hype
FastSpeech: Fast,Robustand Controllable Text-to-Speech	May 22, 2019	Decodertext-to-speech	CodeCode Available	2
Neural Speech Synthesis with Transformer Network	Sep 19, 2018	DecoderMachine Translation	CodeCode Available	2
Efficient Neural Audio Synthesis	Feb 23, 2018	Audio SynthesisCPU	CodeCode Available	2
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models	May 21, 2025	Bayesian OptimizationSpeech Synthesis	CodeCode Available	1
UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal Prompts	Apr 29, 2024	Contrastive LearningSpeech Synthesis	CodeCode Available	1
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech Synthesis	Apr 1, 2024	Speech Synthesistext-to-speech	CodeCode Available	1
Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech	Nov 24, 2023	Dimensionality ReductionEmotion Classification	CodeCode Available	1
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning	Nov 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
ArTST: Arabic Text and Speech Transformer	Oct 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning	Aug 31, 2023	Representation LearningSpeech Representation Learning	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