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 101–110 of 332 papers

Title	Date	Tasks	Status	Hype
MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting	May 19, 2023	Speech Synthesistext-to-speech	—Unverified	0
A unified front-end framework for English text-to-speech synthesis	May 18, 2023	Speech SynthesisText Normalization	—Unverified	0
Accented Text-to-Speech Synthesis with Limited Data	May 8, 2023	Speech Synthesistext-to-speech	—Unverified	0
M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis	May 3, 2023	Speech Synthesistext-to-speech	—Unverified	0
A Review of Deep Learning Techniques for Speech Processing	Apr 30, 2023	Automatic Speech RecognitionDeep Learning	—Unverified	0
Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model	Apr 24, 2023	RhythmSelf-Supervised Learning	—Unverified	0
Enhancing Suno's Bark Text-to-Speech Model: Addressing Limitations Through Meta's Encodec and Pre-Trained Hubert	Apr 18, 2023	Audio GenerationExpressive Speech Synthesis	CodeCode Available	4
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis	Mar 27, 2023	AllAutomatic Speech Recognition	—Unverified	0
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI	Mar 23, 2023	Speech EnhancementSpeech Synthesis	—Unverified	0
Controllable Prosody Generation With Partial Inputs	Mar 14, 2023	Speech Synthesistext-to-speech	—Unverified	0

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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