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 11–20 of 332 papers

Title	Date	Tasks	Status	Hype
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis	Apr 21, 2022	DenoisingGPU	CodeCode Available	2
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT	Oct 7, 2023	Audio captioningAutomatic Speech Recognition	CodeCode Available	2
Lina-Speech: Gated Linear Attention is a Fast and Parameter-Efficient Learner for text-to-speech synthesis	Oct 30, 2024	Speech Synthesistext-to-speech	CodeCode Available	2
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows	Mar 3, 2022	Speech Synthesistext-to-speech	CodeCode Available	2
Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling	Oct 14, 2023	Speech Synthesistext-to-speech	CodeCode Available	2
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech	May 15, 2022	Speech SynthesisStyle Transfer	CodeCode Available	2
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models	Mar 31, 2024	DenoisingSpeech Synthesis	CodeCode Available	2
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech	Feb 8, 2023	Code GenerationDiversity	CodeCode Available	2
Efficient Neural Audio Synthesis	Feb 23, 2018	Audio SynthesisCPU	CodeCode Available	2
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism	May 6, 2021	Generative Adversarial NetworkSinging Voice Synthesis	CodeCode Available	2

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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