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 111–120 of 332 papers

Title	Date	Tasks	Status	Hype
Do Prosody Transfer Models Transfer Prosody?	Mar 7, 2023	Speech Synthesistext-to-speech	—Unverified	0
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling	Mar 7, 2023	In-Context LearningLanguage Modeling	CodeCode Available	5
ParrotTTS: Text-to-Speech synthesis by exploiting self-supervised representations	Mar 1, 2023	Self-Supervised LearningSpeech Synthesis	—Unverified	0
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech	Feb 27, 2023	Speech Synthesistext-to-speech	CodeCode Available	1
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech	Feb 8, 2023	Code GenerationDiversity	CodeCode Available	2
UzbekTagger: The rule-based POS tagger for Uzbek language	Jan 30, 2023	Language ModelingLanguage Modelling	—Unverified	0
Applying Automated Machine Translation to Educational Video Courses	Jan 9, 2023	Machine TranslationSpeech Synthesis	—Unverified	0
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers	Jan 5, 2023	In-Context LearningLanguage Modeling	CodeCode Available	7
ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration	Jan 1, 2023	Audio-Visual Speech RecognitionResynthesis	—Unverified	0
ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement	Dec 21, 2022	Audio-Visual Speech RecognitionResynthesis	—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