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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 276–300 of 332 papers

TitleStatusHype
Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS—0
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model—0
Boosting Large Language Model for Speech Synthesis: An Empirical Study—0
BUCEADOR, a multi-language search engine for digital libraries—0
Building a synchronous corpus of acoustic and 3D facial marker data for adaptive audio-visual speech synthesis—0
Building Text-to-Speech Systems for Resource Poor Languages—0
BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus—0
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—0
Chain-of-Thought Training for Open E2E Spoken Dialogue Systems—0
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis—0
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints—0
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech—0
Conditioning Sequence-to-sequence Networks with Learned Activations—0
Continual Speaker Adaptation for Text-to-Speech Synthesis—0
Controllable Accented Text-to-Speech Synthesis—0
Controllable neural text-to-speech synthesis using intuitive prosodic features—0
Controllable Prosody Generation With Partial Inputs—0
Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform—0
Cross-lingual Multi-speaker Text-to-speech Synthesis for Voice Cloning without Using Parallel Corpus for Unseen Speakers—0
Debatts: Zero-Shot Debating Text-to-Speech Synthesis—0
Deep Performer: Score-to-Audio Music Performance Synthesis—0
Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis—0
Design and Development of Speech Corpora for Air Traffic Control Training—0
Designing French Tale Corpora for Entertaining Text To Speech Synthesis—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