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 241–250 of 332 papers

Title	Date	Tasks	Status
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis	Jun 3, 2021	Data AugmentationSpeaker Verification	—Unverified
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies	Jul 1, 2015	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention	Oct 29, 2018	Speech Synthesistext-to-speech	—Unverified
Speech Bandwidth Expansion Via High Fidelity Generative Adversarial Networks	Jul 26, 2024	Generative Adversarial NetworkSpeech Enhancement	—Unverified
Speech denoising by parametric resynthesis	Apr 2, 2019	DenoisingResynthesis	—Unverified
WebWOZ: A Platform for Designing and Conducting Web-based Wizard of Oz Experiments	Aug 1, 2013	Machine TranslationSpeech Recognition	—Unverified
Spontaneous Style Text-to-Speech Synthesis with Controllable Spontaneous Behaviors Based on Language Models	Jul 18, 2024	Language ModelingLanguage Modelling	—Unverified
A distributed cloud-based dialog system for conversational application development	Sep 1, 2015	Speech RecognitionSpeech Synthesis	—Unverified
Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting	Dec 28, 2024	Speech Synthesistext-to-speech	—Unverified
Adaptive Parser-Centric Text Normalization	Aug 1, 2013	Machine TranslationSpeech 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