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 181–190 of 332 papers

Title	Date	Tasks	Status
A Review of Deep Learning Techniques for Speech Processing	Apr 30, 2023	Automatic Speech RecognitionDeep Learning	—Unverified
Listening while Speaking: Speech Chain by Deep Learning	Jul 16, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Location, Location: Enhancing the Evaluation of Text-to-Speech Synthesis Using the Rapid Prosody Transcription Paradigm	Jul 6, 2021	Speech Synthesistext-to-speech	—Unverified
Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network	Sep 22, 2021	Knowledge DistillationLanguage Modeling	—Unverified
Low-Resource Text-to-Speech Synthesis Using Noise-Augmented Training of ForwardTacotron	Jan 10, 2025	Speech Synthesistext-to-speech	—Unverified
M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis	May 3, 2023	Speech Synthesistext-to-speech	—Unverified
Machine Speech Chain with One-shot Speaker Adaptation	Mar 28, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Vers une annotation automatique de corpus audio pour la synth\`ese de parole (Towards Fully Automatic Annotation of Audio Books for Text-To-Speech (TTS) Synthesis) [in French]	Jun 1, 2012	Speech Synthesistext-to-speech	—Unverified
Applying Syntaxx2013Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis	Mar 29, 2022	Speech Synthesistext-to-speech	—Unverified
Meta Learning Text-to-Speech Synthesis in over 7000 Languages	Jun 10, 2024	Meta-LearningSpeech Synthesis	—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