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 81–90 of 332 papers

Title	Date	Tasks	Status	Score
Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis	Apr 26, 2021	Language ModelingLanguage Modelling	CodeCode Available	5
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish	May 31, 2022	Machine TranslationSpeech Synthesis	CodeCode Available	5
Non-Autoregressive Neural Text-to-Speech	May 21, 2019	text-to-speechText to Speech	CodeCode Available	5
Attentive Multi-Layer Perceptron for Non-autoregressive Generation	Oct 14, 2023	Machine TranslationSpeech Synthesis	CodeCode Available	5
Systematic Inequalities in Language Technology Performance across the World's Languages	Oct 13, 2021	Dependency ParsingMachine Translation	CodeCode Available	5
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting	Feb 19, 2024	Language ModelingLanguage Modelling	CodeCode Available	5
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers	Sep 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Multimodal Latent Language Modeling with Next-Token Diffusion	Dec 11, 2024	Image GenerationLanguage Modeling	CodeCode Available	5
MelNet: A Generative Model for Audio in the Frequency Domain	Jun 4, 2019	Audio GenerationMusic Generation	CodeCode Available	5
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems	May 21, 2019	parameter estimationSpeech Synthesis	CodeCode Available	5

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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