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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 332 papers

TitleStatusHype
Russian Stress Prediction using Maximum Entropy Ranking—0
Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling—0
Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model—0
S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation—0
SALF-MOS: Speaker Agnostic Latent Features Downsampled for MOS Prediction—0
SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis—0
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input—0
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis—0
Semi-supervised Learning for Multi-speaker Text-to-speech Synthesis Using Discrete Speech Representation—0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain—0
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models—0
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis—0
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS—0
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs—0
SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis—0
Speaker-independent raw waveform model for glottal excitation—0
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention—0
Speech Bandwidth Expansion Via High Fidelity Generative Adversarial Networks—0
Speech denoising by parametric resynthesis—0
WebWOZ: A Platform for Designing and Conducting Web-based Wizard of Oz Experiments—0
Spontaneous Style Text-to-Speech Synthesis with Controllable Spontaneous Behaviors Based on Language Models—0
A distributed cloud-based dialog system for conversational application development—0
Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting—0
Dual Script E2E framework for Multilingual and Code-Switching ASR—0
StyleFusion TTS: Multimodal Style-control and Enhanced Feature Fusion for Zero-shot Text-to-speech Synthesis—0
Style Mixture of Experts for Expressive Text-To-Speech Synthesis—0
What happens to diffusion model likelihood when your model is conditional?—0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion—0
Style Variation as a Vantage Point for Code-Switching—0
SynPaFlex-Corpus: An Expressive French Audiobooks Corpus dedicated to expressive speech synthesis.—0
What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS—0
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages—0
Text-free non-parallel many-to-many voice conversion using normalising flows—0
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis—0
Text Normalization and Unit Selection for a Memory Based Non Uniform Unit Selection TTS in Malayalam—0
Texto4Science: a Quebec French Database of Annotated Short Text Messages—0
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder—0
Text-To-Speech Synthesis In The Wild—0
The FruitShell French synthesis system at the Blizzard 2023 Challenge—0
The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance—0
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach—0
The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains—0
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion—0
Accented Text-to-Speech Synthesis with Limited Data—0
Towards Fully Automatic Annotation of Audio Books for TTS—0
AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis—0
Autoregressive Speech Synthesis without Vector Quantization—0
Show:102550
← PrevPage 6 of 7Next →
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