SOTAVerified

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

Showing 251–300 of 332 papers

TitleStatusHype
Neural Models of Text Normalization for Speech Applications—0
Neural Text Normalization with Subword Units—0
FastSpeech: Fast,Robustand Controllable Text-to-SpeechCode2
FastSpeech: Fast, Robust and Controllable Text to SpeechCode2
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systemsCode0
Non-Autoregressive Neural Text-to-SpeechCode0
Direct speech-to-speech translation with a sequence-to-sequence modelCode0
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion—0
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited DataCode1
Speech denoising by parametric resynthesis—0
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio AnalysisCode1
Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis—0
Exploring Transfer Learning for Low Resource Emotional TTSCode1
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator—0
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks—0
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention—0
Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent languageCode0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
Neural Speech Synthesis with Transformer NetworkCode2
Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis—0
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder—0
The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation SystemsCode0
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech SynthesisCode0
Design and Development of Speech Corpora for Air Traffic Control Training—0
SynPaFlex-Corpus: An Expressive French Audiobooks Corpus dedicated to expressive speech synthesis.—0
Improving homograph disambiguation with supervised machine learning—0
Speaker-independent raw waveform model for glottal excitation—0
Machine Speech Chain with One-shot Speaker Adaptation—0
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech SynthesisCode1
Efficient Neural Audio SynthesisCode2
Tools and resources for Romanian text-to-speech and speech-to-text applicationsCode0
Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform—0
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided AttentionCode1
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images—0
Listening while Speaking: Speech Chain by Deep Learning—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—0
Tacotron: Towards End-to-End Speech SynthesisCode1
Automatic Syllabification for Manipuri language—0
DNN-based Speech Synthesis for Indian Languages from ASCII text—0
A Taxonomy of Specific Problem Classes in Text-to-Speech Synthesis: Comparing Commercial and Open Source Performance—0
Minimally Supervised Number Normalization—0
Text Normalization and Unit Selection for a Memory Based Non Uniform Unit Selection TTS in Malayalam—0
Hierarchical Representation of Prosody for Statistical Speech Synthesis—0
Individuality-Preserving Spectrum Modification for Articulation Disorders Using Phone Selective Synthesis—0
Which Synthetic Voice Should I Choose for an Evocative Task?—0
A distributed cloud-based dialog system for conversational application development—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
An In-depth Analysis of the Effect of Text Normalization in Social Media—0
Normalization of Non-Standard Words in Croatian Texts—0
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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