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 291–300 of 332 papers

Title	Date	Tasks	Status
A Taxonomy of Specific Problem Classes in Text-to-Speech Synthesis: Comparing Commercial and Open Source Performance	May 1, 2016	Speech Synthesistext-to-speech	—Unverified
Minimally Supervised Number Normalization	Jan 1, 2016	speech-recognitionSpeech Recognition	—Unverified
Text Normalization and Unit Selection for a Memory Based Non Uniform Unit Selection TTS in Malayalam	Dec 1, 2015	Speech SynthesisText Normalization	—Unverified
Hierarchical Representation of Prosody for Statistical Speech Synthesis	Oct 7, 2015	Speech Synthesistext-to-speech	—Unverified
Individuality-Preserving Spectrum Modification for Articulation Disorders Using Phone Selective Synthesis	Sep 1, 2015	Speech SynthesisText-To-Speech Synthesis	—Unverified
Which Synthetic Voice Should I Choose for an Evocative Task?	Sep 1, 2015	Speech SynthesisText-To-Speech Synthesis	—Unverified
A distributed cloud-based dialog system for conversational application development	Sep 1, 2015	Speech RecognitionSpeech Synthesis	—Unverified
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies	Jul 1, 2015	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified
An In-depth Analysis of the Effect of Text Normalization in Social Media	May 1, 2015	Dependency Parsingnamed-entity-recognition	—Unverified
Normalization of Non-Standard Words in Croatian Texts	Mar 27, 2015	FormGeneral Classification	—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