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 261–270 of 332 papers

Title	Date	Tasks	Status
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models	May 23, 2023	Speech Synthesistext-to-speech	—Unverified
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis	May 18, 2025	Speech Synthesistext-to-speech	—Unverified
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS	Nov 10, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs	Jul 18, 2023	Generative Adversarial NetworkLanguage Modeling	—Unverified
SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis	Apr 6, 2022	Speech Synthesistext-to-speech	—Unverified
Speaker-independent raw waveform model for glottal excitation	Apr 25, 2018	modelSpeech Synthesis	—Unverified
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

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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