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 151–160 of 332 papers

Title	Date	Tasks	Status	Hype
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis	Apr 21, 2022	DenoisingGPU	CodeCode Available	2
The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance	Apr 11, 2022	Speaker VerificationSpeech Synthesis	—Unverified	0
SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis	Apr 6, 2022	Speech Synthesistext-to-speech	—Unverified	0
VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature	Apr 2, 2022	Speech Synthesistext-to-speech	—Unverified	0
Applying Syntaxx2013Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis	Mar 29, 2022	Speech Synthesistext-to-speech	—Unverified	0
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition	Mar 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling	Mar 21, 2022	DecoderSpeech Synthesis	—Unverified	0
ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis	Mar 20, 2022	Speaker VerificationSpeech Synthesis	CodeCode Available	0
Text-free non-parallel many-to-many voice conversion using normalising flows	Mar 15, 2022	Normalising FlowsSpeech Synthesis	—Unverified	0
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform	Mar 4, 2022	Speech Synthesistext-to-speech	CodeCode Available	2

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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