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 321–330 of 332 papers

Title	Date	Tasks	Status
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers	Sep 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Systematic Inequalities in Language Technology Performance across the World's Languages	Oct 13, 2021	Dependency ParsingMachine Translation	CodeCode Available
Systematic Inequalities in Language Technology Performance across the World’s Languages	May 1, 2022	Dependency ParsingMachine Translation	CodeCode Available
Non-Autoregressive Neural Text-to-Speech	May 21, 2019	text-to-speechText to Speech	CodeCode Available
Attentive Multi-Layer Perceptron for Non-autoregressive Generation	Oct 14, 2023	Machine TranslationSpeech Synthesis	CodeCode Available
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale	Jun 23, 2023	In-Context LearningSpeech Synthesis	CodeCode Available
Direct speech-to-speech translation with a sequence-to-sequence model	Apr 12, 2019	Speech SynthesisSpeech-to-Speech Translation	CodeCode Available
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting	Feb 19, 2024	Language ModelingLanguage Modelling	CodeCode Available
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input	Jul 5, 2021	Speech Synthesistext-to-speech	CodeCode Available
Independent and automatic evaluation of acoustic-to-articulatory inversion models	Nov 15, 2019	speech-recognitionSpeech Recognition	CodeCode Available

Show:10 25 50

← PrevPage 33 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