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 311–320 of 332 papers

Title	Date	Tasks	Status
Towards Multilingual Conversations in the Medical Domain: Development of Multilingual Medical Data and A Network-based ASR System	May 1, 2014	Machine Translationspeech-recognition	—Unverified
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment	Oct 28, 2019	Hard AttentionSpeech Synthesis	—Unverified
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens	Dec 13, 2024	Conditional Image GenerationImage Generation	—Unverified
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis	Aug 31, 2023	Expressive Speech SynthesisSentence	—Unverified
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey	Sep 26, 2020	Dialect IdentificationMachine Translation	—Unverified
Efficient training strategies for natural sounding speech synthesis and speaker adaptation based on FastPitch	Oct 9, 2024	Speech Synthesistext-to-speech	—Unverified
Automatically Acquiring Fine-Grained Information Status Distinctions in German	Jul 1, 2012	Coreference ResolutionSpeech Synthesis	—Unverified
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis	Dec 1, 2014	Speech Synthesistext-to-speech	—Unverified
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator	Oct 31, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE	Oct 19, 2020	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