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	Score
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT	Oct 7, 2023	Audio captioningAutomatic Speech Recognition	CodeCode Available	2	5
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram	Oct 25, 2019	Generative Adversarial NetworkGPU	CodeCode Available	2	5
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models	Mar 31, 2024	DenoisingSpeech Synthesis	CodeCode Available	2	5
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search	May 22, 2020	text-to-speechText to Speech	CodeCode Available	1	5
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech	May 13, 2021	DecoderSpeech Synthesis	CodeCode Available	1	5
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech	Feb 27, 2023	Speech Synthesistext-to-speech	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
Fine-grained style control in Transformer-based Text-to-speech Synthesis	Oct 12, 2021	Inductive BiasSpeech 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
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis	May 12, 2020	Speech SynthesisStyle Transfer	CodeCode Available	1	5

Show:10 25 50

← PrevPage 4 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