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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 51–100 of 332 papers

TitleStatusHype
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph EntitiesCode1
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech SynthesisCode1
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided AttentionCode1
OverFlow: Putting flows on top of neural transducers for better TTSCode1
EdiTTS: Score-based Editing for Controllable Text-to-SpeechCode1
ArTST: Arabic Text and Speech TransformerCode1
Exploring Transfer Learning for Low Resource Emotional TTSCode1
QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation LearningCode1
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied BaselineCode1
Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech TranslationCode1
KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis DatasetCode1
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited DataCode1
Learning Arousal-Valence Representation from Categorical Emotion Labels of SpeechCode1
Multilingual Text-to-Speech Synthesis for Turkic Languages Using TransliterationCode1
Automatic Prosody Annotation with Pre-Trained Text-Speech ModelCode1
Grad-TTS: A Diffusion Probabilistic Model for Text-to-SpeechCode1
Imaginary Voice: Face-styled Diffusion Model for Text-to-SpeechCode1
Fine-grained style control in Transformer-based Text-to-speech SynthesisCode1
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech SynthesisCode1
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment SearchCode1
FastSpeech 2: Fast and High-Quality End-to-End Text to SpeechCode1
Accented Text-to-Speech Synthesis with a Conditional Variational AutoencoderCode1
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech SynthesisCode1
Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale CorpusCode1
Tacotron: Towards End-to-End Speech SynthesisCode1
Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform—0
Controllable Prosody Generation With Partial Inputs—0
A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis—0
Controllable neural text-to-speech synthesis using intuitive prosodic features—0
Controllable Accented Text-to-Speech Synthesis—0
A unified front-end framework for English text-to-speech synthesis—0
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era—0
Continual Speaker Adaptation for Text-to-Speech Synthesis—0
Conditioning Sequence-to-sequence Networks with Learned Activations—0
A Unified Framework for Collecting Text-to-Speech Synthesis Datasets for 22 Indian Languages—0
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework—0
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—0
A distributed cloud-based dialog system for conversational application development—0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain—0
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints—0
Chain-of-Thought Training for Open E2E Spoken Dialogue Systems—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—0
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI—0
An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis—0
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech—0
BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models—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