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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 76–100 of 332 papers

Title	Date	Tasks	Status	Hype	Score
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone	Dec 4, 2021	Speech SynthesisText-To-Speech Synthesis	CodeCode Available	1	5
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis	Oct 9, 2021	Lifelong learningSpeech Synthesis	CodeCode Available	0	5
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis	Jun 12, 2018	Speaker VerificationSpeech Synthesis	CodeCode Available	0	5
The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems	Jun 25, 2018	Speech Emotion RecognitionSpeech Synthesis	CodeCode Available	0	5
Tools and resources for Romanian text-to-speech and speech-to-text applications	Feb 15, 2018	speech-recognitionSpeech Recognition	CodeCode Available	0	5
Systematic Inequalities in Language Technology Performance across the World's Languages	Oct 13, 2021	Dependency ParsingMachine Translation	CodeCode Available	0	5
Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis	Feb 28, 2020	Speech Synthesistext-to-speech	CodeCode Available	0	5
Systematic Inequalities in Language Technology Performance across the World’s Languages	May 1, 2022	Dependency ParsingMachine Translation	CodeCode Available	0	5
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input	Jul 5, 2021	Speech Synthesistext-to-speech	CodeCode Available	0	5
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior	Jun 11, 2021	Audio GenerationDenoising	CodeCode Available	0	5
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish	May 31, 2022	Machine TranslationSpeech Synthesis	CodeCode Available	0	5
Attentive Multi-Layer Perceptron for Non-autoregressive Generation	Oct 14, 2023	Machine TranslationSpeech Synthesis	CodeCode Available	0	5
Spoofing Speaker Verification Systems with Deep Multi-speaker Text-to-speech Synthesis	Oct 29, 2019	Speaker VerificationSpeech Synthesis	CodeCode Available	0	5
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale	Jun 23, 2023	In-Context LearningSpeech Synthesis	CodeCode Available	0	5
Multimodal Latent Language Modeling with Next-Token Diffusion	Dec 11, 2024	Image GenerationLanguage Modeling	CodeCode Available	0	5
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting	Feb 19, 2024	Language ModelingLanguage Modelling	CodeCode Available	0	5
Non-Autoregressive Neural Text-to-Speech	May 21, 2019	text-to-speechText to Speech	CodeCode Available	0	5
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers	Sep 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0	5
Meta Learning Text-to-Speech Synthesis in over 7000 Languages	Jun 10, 2024	Meta-LearningSpeech Synthesis	CodeCode Available	0	5
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems	May 21, 2019	parameter estimationSpeech Synthesis	CodeCode Available	0	5
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response	Oct 8, 2020	Deep LearningPrognosis	CodeCode Available	0	5
ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis	Mar 20, 2022	Speaker VerificationSpeech Synthesis	CodeCode Available	0	5
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors	Oct 25, 2023	en-US domain classificationen-US Intent Classification	CodeCode Available	0	5
MelNet: A Generative Model for Audio in the Frequency Domain	Jun 4, 2019	Audio GenerationMusic Generation	CodeCode Available	0	5
Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent language	Oct 29, 2018	Speech Synthesistext-to-speech	CodeCode Available	0	5

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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