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 191–200 of 332 papers

Title	Date	Tasks	Status
Minimally Supervised Number Normalization	Jan 1, 2016	speech-recognitionSpeech Recognition	—Unverified
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis	Dec 17, 2023	Speech SynthesisStyle Transfer	—Unverified
Accent conversion using discrete units with parallel data synthesized from controllable accented TTS	Sep 30, 2024	Data AugmentationSpeech Synthesis	—Unverified
Modular Meta-Learning with Shrinkage	Sep 12, 2019	Image ClassificationMeta-Learning	—Unverified
Applying Automated Machine Translation to Educational Video Courses	Jan 9, 2023	Machine TranslationSpeech Synthesis	—Unverified
MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting	May 19, 2023	Speech Synthesistext-to-speech	—Unverified
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning	Feb 10, 2021	Speech Synthesistext-to-speech	—Unverified
Multi-Scale Accent Modeling and Disentangling for Multi-Speaker Multi-Accent Text-to-Speech Synthesis	Jun 16, 2024	DisentanglementSpeech Synthesis	—Unverified
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer	Sep 3, 2020	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