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	Score
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers	Sep 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Direct speech-to-speech translation with a sequence-to-sequence model	Apr 12, 2019	Speech SynthesisSpeech-to-Speech Translation	CodeCode Available	5
Independent and automatic evaluation of acoustic-to-articulatory inversion models	Nov 15, 2019	speech-recognitionSpeech Recognition	CodeCode Available	5
Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent language	Oct 29, 2018	Speech Synthesistext-to-speech	CodeCode Available	5
Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform	Dec 13, 2017	Speech Synthesistext-to-speech	—Unverified	0
Controllable Prosody Generation With Partial Inputs	Mar 14, 2023	Speech Synthesistext-to-speech	—Unverified	0
A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis	Nov 11, 2019	Polyphone disambiguationSpeech Synthesis	—Unverified	0
Controllable neural text-to-speech synthesis using intuitive prosodic features	Sep 14, 2020	SentenceSpeech Synthesis	—Unverified	0
Controllable Accented Text-to-Speech Synthesis	Sep 22, 2022	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

Show:10 25 50

← PrevPage 11 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