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 61–70 of 332 papers

Title	Date	Tasks	Status	Hype
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities	Dec 1, 2020	Chinese Word SegmentationSpeech Synthesis	CodeCode Available	1
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis	Nov 6, 2020	DecoderSpeech Synthesis	CodeCode Available	1
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph Entities	Nov 5, 2020	Chinese Word SegmentationSpeech Synthesis	CodeCode Available	1
Effective Deep Learning Models for Automatic Diacritization of Arabic Text	Nov 1, 2020	Arabic Text DiacritizationDecoder	CodeCode Available	1
WaveGrad: Estimating Gradients for Waveform Generation	Sep 2, 2020	Speech SynthesisText-To-Speech Synthesis	CodeCode Available	1
Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion	Aug 13, 2020	Speech Synthesistext-to-speech	CodeCode Available	1
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech	Jun 8, 2020	Knowledge DistillationSpeech Synthesis	CodeCode Available	1
End-to-End Adversarial Text-to-Speech	Jun 5, 2020	Adversarial TextDynamic Time Warping	CodeCode Available	1
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search	May 22, 2020	text-to-speechText to Speech	CodeCode Available	1
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis	May 12, 2020	Speech SynthesisStyle Transfer	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