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 231–240 of 332 papers

Title	Date	Tasks	Status
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time	Nov 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis	Oct 23, 2020	Graph AttentionGraph Neural Network	—Unverified
An Investigation of the Relation Between Grapheme Embeddings and Pronunciation for Tacotron-based Systems	Oct 21, 2020	Grapheme-to-Phoneme ConversionRelation	—Unverified
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE	Oct 19, 2020	Speech Synthesistext-to-speech	—Unverified
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response	Oct 8, 2020	Deep LearningPrognosis	CodeCode Available
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey	Sep 26, 2020	Dialect IdentificationMachine Translation	—Unverified
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis	Sep 17, 2020	Expressive Speech SynthesisSpeech Synthesis	—Unverified
Controllable neural text-to-speech synthesis using intuitive prosodic features	Sep 14, 2020	SentenceSpeech Synthesis	—Unverified
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS	Sep 4, 2020	DecoderSentence	—Unverified
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer	Sep 3, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—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