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 111–120 of 332 papers

Title	Date	Tasks	Status
Fine-grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement	Nov 8, 2020	DisentanglementSpeech Synthesis	—Unverified
Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features	Apr 8, 2021	DecoderSpeech Synthesis	—Unverified
Adaptive Parser-Centric Text Normalization	Aug 1, 2013	Machine TranslationSpeech Recognition	—Unverified
FLY-TTS: Fast, Lightweight and High-Quality End-to-End Text-to-Speech Synthesis	Jun 30, 2024	CPUDecoder	—Unverified
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation	May 20, 2025	Dataset GenerationSpeech Synthesis	—Unverified
Full-text Error Correction for Chinese Speech Recognition with Large Language Model	Sep 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation of the Relation Between Grapheme Embeddings and Pronunciation for Tacotron-based Systems	Oct 21, 2020	Grapheme-to-Phoneme ConversionRelation	—Unverified
Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis	Mar 14, 2019	Generative Adversarial NetworkSpeech Synthesis	—Unverified
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE	Oct 19, 2020	Speech Synthesistext-to-speech	—Unverified
BUCEADOR, a multi-language search engine for digital libraries	May 1, 2012	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—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