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 71–80 of 332 papers

Title	Date	Tasks	Status	Hype
MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis	Dec 17, 2023	Speech SynthesisStyle Transfer	—Unverified	0
An Experimental Study: Assessing the Combined Framework of WavLM and BEST-RQ for Text-to-Speech Synthesis	Dec 8, 2023	BenchmarkingQuantization	—Unverified	0
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis	Dec 6, 2023	Speech Synthesistext-to-speech	—Unverified	0
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints	Dec 2, 2023	Speech Synthesistext-to-speech	—Unverified	0
Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech	Nov 24, 2023	Dimensionality ReductionEmotion Classification	CodeCode Available	1
Guided Flows for Generative Modeling and Decision Making	Nov 22, 2023	Conditional Image GenerationDecision Making	—Unverified	0
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning	Nov 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Generative Pre-training for Speech with Flow Matching	Oct 25, 2023	Speech EnhancementSpeech Synthesis	—Unverified	0
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors	Oct 25, 2023	en-US domain classificationen-US Intent Classification	CodeCode Available	0
ArTST: Arabic Text and Speech Transformer	Oct 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1

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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