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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 301–332 of 332 papers

TitleStatusHype
AutoTTS: End-to-End Text-to-Speech Synthesis through Differentiable Duration Modeling—0
Automatic Syllabification for Manipuri language—0
DNN-based Speech Synthesis for Indian Languages from ASCII text—0
Dual Script E2E framework for Multilingual and Code-Switching ASR—0
Do Prosody Transfer Models Transfer Prosody?—0
Duration Modeling by Multi-Models based on Vowel Production characteristics—0
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis—0
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis—0
Towards Multilingual Conversations in the Medical Domain: Development of Multilingual Medical Data and A Network-based ASR System—0
Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis—0
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey—0
Efficient training strategies for natural sounding speech synthesis and speaker adaptation based on FastPitch—0
Automatically Acquiring Fine-Grained Information Status Distinctions in German—0
Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis—0
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator—0
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE—0
Transformer-based Models of Text Normalization for Speech Applications—0
A Unified Transformer-based Framework for Duplex Text Normalization—0
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback—0
Environment Aware Text-to-Speech Synthesis—0
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models—0
A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis—0
Evaluating Long-form Text-to-Speech: Comparing the Ratings of Sentences and Paragraphs—0
Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model—0
Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet—0
Exploring Transfer Learning for Urdu Speech Synthesis—0
Fast Bootstrapping of Grapheme to Phoneme System for Under-resourced Languages - Application to the Iban Language—0
A unified front-end framework for English text-to-speech synthesis—0
Unified speech and gesture synthesis using flow matching—0
A Unified Framework for Collecting Text-to-Speech Synthesis Datasets for 22 Indian Languages—0
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All datasetsLJSpeech20000 utterancesCMUDict 0.7bHUI speech corpusThorsten voice 21.02 neutralTrinity Speech-Gesture Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NaturalSpeechAudio Quality MOS4.56—Unverified
2VITSAudio Quality MOS4.43—Unverified
3Grad-TTS + HiFiGAN (1000 steps)Audio Quality MOS4.37—Unverified
4FastSpeech 2 + HiFiGANAudio Quality MOS4.34—Unverified
5Glow-TTS + HiFiGANAudio Quality MOS4.34—Unverified
6FastSpeech 2 + HiFiGANAudio Quality MOS4.32—Unverified
7FastDiff (4 steps)Audio Quality MOS4.28—Unverified
8FastDiff-TTSAudio Quality MOS4.03—Unverified
9Transformer TTS (Mel + WaveGlow)Audio Quality MOS3.88—Unverified
10FastSpeech (Mel + WaveGlow)Audio Quality MOS3.84—Unverified
#ModelMetricClaimedVerifiedStatus
1Mia10-keyword Speech Commands dataset16—Unverified
#ModelMetricClaimedVerifiedStatus
1Token-Level Ensemble DistillationPhoneme Error Rate4.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score3.74—Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score3.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Match-TTSGMOS3.7—Unverified