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 211–220 of 332 papers

Title	Date	Tasks	Status
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input	Jul 5, 2021	Speech Synthesistext-to-speech	CodeCode Available
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior	Jun 11, 2021	Audio GenerationDenoising	—Unverified
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis	Jun 3, 2021	Speaker VerificationSpeech Synthesis	—Unverified
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis	Jun 3, 2021	Data AugmentationSpeaker Verification	—Unverified
Dual Script E2E framework for Multilingual and Code-Switching ASR	Jun 2, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis	Apr 26, 2021	Language ModelingLanguage Modelling	CodeCode Available
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis	Apr 14, 2021	Dependency ParsingRepresentation Learning	—Unverified
Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features	Apr 8, 2021	DecoderSpeech Synthesis	—Unverified
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability	Apr 3, 2021	Emotion Recognitionreinforcement-learning	—Unverified
PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS	Mar 28, 2021	Representation LearningText-To-Speech 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