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

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Showing 181–190 of 332 papers

Title	Date	Tasks	Status
Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis	Aug 27, 2019	Speech Synthesistext-to-speech	—Unverified
Neural Models of Text Normalization for Speech Applications	Jun 1, 2019	BIG-bench Machine LearningSpeech Synthesis	—Unverified
Neural Speech Synthesis in German	Oct 3, 2021	Speech Synthesistext-to-speech	—Unverified
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions	Jun 4, 2025	Data AugmentationDiversity	—Unverified
Neural Text Normalization with Subword Units	Jun 1, 2019	Machine TranslationNatural Language Understanding	—Unverified
Neural Text-to-Speech Synthesis for an Under-Resourced Language in a Diglossic Environment: the Case of Gascon Occitan	May 1, 2020	Speech Synthesistext-to-speech	—Unverified
Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters	Jan 10, 2024	Self-Supervised LearningSpeech Enhancement	—Unverified
Normalization of Lithuanian Text Using Regular Expressions	Dec 29, 2023	Speech SynthesisText Normalization	—Unverified
Normalization of Non-Standard Words in Croatian Texts	Mar 27, 2015	FormGeneral Classification	—Unverified
Normalizing Text using Language Modelling based on Phonetics and String Similarity	Jun 25, 2020	Language ModelingLanguage Modelling	—Unverified

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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