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 21–30 of 332 papers

Title	Date	Tasks	Status	Hype
EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech	Jun 12, 2024	Emotional Speech Synthesistext-to-speech	CodeCode Available	2
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models	Mar 31, 2024	DenoisingSpeech Synthesis	CodeCode Available	2
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT	Oct 7, 2023	Audio captioningAutomatic Speech Recognition	CodeCode Available	2
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech	Feb 8, 2023	Code GenerationDiversity	CodeCode Available	2
FastSpeech: Fast, Robust and Controllable Text to Speech	May 22, 2019	DecoderSpeech Synthesis	CodeCode Available	2
FastSpeech: Fast,Robustand Controllable Text-to-Speech	May 22, 2019	Decodertext-to-speech	CodeCode Available	2
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform	Mar 4, 2022	Speech Synthesistext-to-speech	CodeCode Available	2
FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec	Sep 14, 2023	Automatic Speech Recognitionspeech-recognition	CodeCode Available	2
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows	Mar 3, 2022	Speech Synthesistext-to-speech	CodeCode Available	2
Lina-Speech: Gated Linear Attention is a Fast and Parameter-Efficient Learner for text-to-speech synthesis	Oct 30, 2024	Speech Synthesistext-to-speech	CodeCode Available	2

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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