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 171–180 of 332 papers

Title	Date	Tasks	Status
MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting	May 19, 2023	Speech Synthesistext-to-speech	—Unverified
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning	Feb 10, 2021	Speech Synthesistext-to-speech	—Unverified
Multi-Scale Accent Modeling and Disentangling for Multi-Speaker Multi-Accent Text-to-Speech Synthesis	Jun 16, 2024	DisentanglementSpeech Synthesis	—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
Multi-speaker Multi-style Text-to-speech Synthesis With Single-speaker Single-style Training Data Scenarios	Dec 23, 2021	DiversitySpeech Synthesis	—Unverified
Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes	Aug 7, 2020	Gaussian ProcessesSpeech Synthesis	—Unverified
Multi-Stage Deep Transfer Learning for EmIoT-enabled Human-Computer Interaction	Feb 3, 2022	Human-Object Interaction Detectiontext-to-speech	—Unverified
Multi-step Natural Language Understanding	Aug 1, 2013	Natural Language UnderstandingSpeech Recognition	—Unverified
Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models	Nov 17, 2022	Speech Synthesistext-to-speech	—Unverified
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era	Oct 6, 2022	Speech Synthesistext-to-speech	—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