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 141–150 of 332 papers

Title	Date	Tasks	Status
Generative Pre-training for Speech with Flow Matching	Oct 25, 2023	Speech EnhancementSpeech Synthesis	—Unverified
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
Attentive Multi-Layer Perceptron for Non-autoregressive Generation	Oct 14, 2023	Machine TranslationSpeech Synthesis	CodeCode Available
Unified speech and gesture synthesis using flow matching	Oct 8, 2023	Audio SynthesisMotion Synthesis	—Unverified
The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains	Oct 4, 2023	Speech Synthesistext-to-speech	—Unverified
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis	Sep 22, 2023	DenoisingSpeech Synthesis	—Unverified
The FruitShell French synthesis system at the Blizzard 2023 Challenge	Sep 1, 2023	Data AugmentationSpeech Synthesis	—Unverified
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis	Aug 31, 2023	Expressive Speech SynthesisSentence	—Unverified
SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis	Aug 2, 2023	DecoderSelf-Supervised Learning	—Unverified
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech	Jul 31, 2023	Acoustic ModellingSpeech 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