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 81–90 of 332 papers

Title	Date	Tasks	Status	Hype
Attentive Multi-Layer Perceptron for Non-autoregressive Generation	Oct 14, 2023	Machine TranslationSpeech Synthesis	CodeCode Available	0
Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling	Oct 14, 2023	Speech Synthesistext-to-speech	CodeCode Available	2
Unified speech and gesture synthesis using flow matching	Oct 8, 2023	Audio SynthesisMotion Synthesis	—Unverified	0
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT	Oct 7, 2023	Audio captioningAutomatic Speech Recognition	CodeCode Available	2
The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains	Oct 4, 2023	Speech Synthesistext-to-speech	—Unverified	0
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis	Sep 22, 2023	DenoisingSpeech Synthesis	—Unverified	0
FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec	Sep 14, 2023	Automatic Speech Recognitionspeech-recognition	CodeCode Available	2
Matcha-TTS: A fast TTS architecture with conditional flow matching	Sep 6, 2023	Acoustic ModellingDecoder	CodeCode Available	3
The FruitShell French synthesis system at the Blizzard 2023 Challenge	Sep 1, 2023	Data AugmentationSpeech Synthesis	—Unverified	0
QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning	Aug 31, 2023	Representation LearningSpeech Representation Learning	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