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 151–160 of 332 papers

Title	Date	Tasks	Status
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis	Dec 1, 2014	Speech Synthesistext-to-speech	—Unverified
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model	Jul 4, 2022	Language ModelingLanguage Modelling	—Unverified
Efficient training strategies for natural sounding speech synthesis and speaker adaptation based on FastPitch	Oct 9, 2024	Speech Synthesistext-to-speech	—Unverified
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech	Feb 13, 2025	Adversarial AttackAdversarial Attack Detection	—Unverified
An Experimental Study: Assessing the Combined Framework of WavLM and BEST-RQ for Text-to-Speech Synthesis	Dec 8, 2023	BenchmarkingQuantization	—Unverified
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens	Dec 13, 2024	Conditional Image GenerationImage Generation	—Unverified
Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS	Oct 9, 2024	DiversitySpeech Synthesis	—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
BAD: An Assistant tool for making verses in Basque	Apr 1, 2012	Speech SynthesisText-To-Speech Synthesis	—Unverified
AS-Speech: Adaptive Style For Speech Synthesis	Sep 9, 2024	RhythmSpeech 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