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 91–100 of 332 papers

Title	Date	Tasks	Status
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain	Jun 3, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints	Dec 2, 2023	Speech Synthesistext-to-speech	—Unverified
Chain-of-Thought Training for Open E2E Spoken Dialogue Systems	May 31, 2025	Language ModelingLanguage Modelling	—Unverified
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface	Apr 1, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI	Mar 23, 2023	Speech EnhancementSpeech Synthesis	—Unverified
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis	Jun 3, 2021	Speaker VerificationSpeech Synthesis	—Unverified
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech	Jun 3, 2025	Speech Synthesistext-to-speech	—Unverified
BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus	Jun 1, 2022	Speech Synthesistext-to-speech	—Unverified
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms	Nov 9, 2018	GPUImage Captioning	—Unverified
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models	Sep 22, 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