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 211–220 of 332 papers

Title	Date	Tasks	Status
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
Open-Source Boundary-Annotated Corpus for Arabic Speech and Language Processing	May 1, 2012	ChunkingDescriptive	—Unverified
VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature	Apr 2, 2022	Speech Synthesistext-to-speech	—Unverified
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis	Jun 3, 2021	Speaker VerificationSpeech Synthesis	—Unverified
An In-depth Analysis of the Effect of Text Normalization in Social Media	May 1, 2015	Dependency Parsingnamed-entity-recognition	—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