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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 251–300 of 332 papers

TitleStatusHype
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
BAD: An Assistant tool for making verses in Basque—0
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
Designing Language Technology Applications: A Wizard of Oz Driven Prototyping Framework—0
Development of Marathi Part of Speech Tagger Using Statistical Approach—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