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 251300 of 332 papers

TitleStatusHype
Neural Models of Text Normalization for Speech Applications0
Neural Text Normalization with Subword Units0
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 Conversion0
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited DataCode1
Speech denoising by parametric resynthesis0
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 synthesis0
Exploring Transfer Learning for Low Resource Emotional TTSCode1
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms0
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator0
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks0
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention0
Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent languageCode0
A Challenge Set and Methods for Noun-Verb Ambiguity0
Neural Speech Synthesis with Transformer NetworkCode2
Predicting Expressive Speaking Style From Text In End-To-End Speech Synthesis0
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder0
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 Training0
SynPaFlex-Corpus: An Expressive French Audiobooks Corpus dedicated to expressive speech synthesis.0
Improving homograph disambiguation with supervised machine learning0
Speaker-independent raw waveform model for glottal excitation0
Machine Speech Chain with One-shot Speaker Adaptation0
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 Platform0
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 Images0
Listening while Speaking: Speech Chain by Deep Learning0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface0
Tacotron: Towards End-to-End Speech SynthesisCode1
Automatic Syllabification for Manipuri language0
DNN-based Speech Synthesis for Indian Languages from ASCII text0
A Taxonomy of Specific Problem Classes in Text-to-Speech Synthesis: Comparing Commercial and Open Source Performance0
Minimally Supervised Number Normalization0
Text Normalization and Unit Selection for a Memory Based Non Uniform Unit Selection TTS in Malayalam0
Hierarchical Representation of Prosody for Statistical Speech Synthesis0
Individuality-Preserving Spectrum Modification for Articulation Disorders Using Phone Selective Synthesis0
Which Synthetic Voice Should I Choose for an Evocative Task?0
A distributed cloud-based dialog system for conversational application development0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies0
An In-depth Analysis of the Effect of Text Normalization in Social Media0
Normalization of Non-Standard Words in Croatian Texts0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NaturalSpeechAudio Quality MOS4.56Unverified
2VITSAudio Quality MOS4.43Unverified
3Grad-TTS + HiFiGAN (1000 steps)Audio Quality MOS4.37Unverified
4FastSpeech 2 + HiFiGANAudio Quality MOS4.34Unverified
5Glow-TTS + HiFiGANAudio Quality MOS4.34Unverified
6FastSpeech 2 + HiFiGANAudio Quality MOS4.32Unverified
7FastDiff (4 steps)Audio Quality MOS4.28Unverified
8FastDiff-TTSAudio Quality MOS4.03Unverified
9Transformer TTS (Mel + WaveGlow)Audio Quality MOS3.88Unverified
10FastSpeech (Mel + WaveGlow)Audio Quality MOS3.84Unverified
#ModelMetricClaimedVerifiedStatus
1Mia10-keyword Speech Commands dataset16Unverified
#ModelMetricClaimedVerifiedStatus
1Token-Level Ensemble DistillationPhoneme Error Rate4.6Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score3.74Unverified
#ModelMetricClaimedVerifiedStatus
1Tacotron 2Mean Opinion Score3.49Unverified
#ModelMetricClaimedVerifiedStatus
1Match-TTSGMOS3.7Unverified