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Voice Cloning

Voice cloning is a highly desired feature for personalized speech interfaces. Neural voice cloning system learns to synthesize a person’s voice from only a few audio samples.

Papers

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Showing 51–100 of 112 papers

TitleStatusHype
Can DeepFake Speech be Reliably Detected?—0
Algorithms For Automatic Accentuation And Transcription Of Russian Texts In Speech Recognition Systems—0
Augmentation through Laundering Attacks for Audio Spoof Detection—0
Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space—0
Multi-modal Adversarial Training for Zero-Shot Voice Cloning—0
Is Audio Spoof Detection Robust to Laundering Attacks?Code0
kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech—0
Advancing Voice Cloning for Nepali: Leveraging Transfer Learning in a Low-Resource Language—0
WavLM model ensemble for audio deepfake detectionCode0
Preset-Voice Matching for Privacy Regulated Speech-to-Speech Translation Systems—0
A multi-speaker multi-lingual voice cloning system based on vits2 for limmits 2024 challenge—0
DubWise: Video-Guided Speech Duration Control in Multimodal LLM-based Text-to-Speech for Dubbing—0
Spoken Language Corpora Augmentation with Domain-Specific Voice-Cloned Speech—0
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices—0
Non-autoregressive real-time Accent Conversion model with voice cloning—0
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake DatasetCode0
MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech—0
Scaling NVIDIA's Multi-speaker Multi-lingual TTS Systems with Zero-Shot TTS to Indic Languages—0
Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis—0
MemoryCompanion: A Smart Healthcare Solution to Empower Efficient Alzheimer's Care Via Unleashing Generative AI—0
Learning Through AI-Clones: Enhancing Self-Perception and Presentation Performance—0
High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models—0
Collaborative Watermarking for Adversarial Speech Synthesis—0
TRAVID: An End-to-End Video Translation Framework—0
Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion—0
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis—0
Taiwanese-Accented Mandarin and English Multi-Speaker Talking-Face Synthesis System—0
Low-Resource Multilingual and Zero-Shot Multispeaker TTSCode0
Empirical Study Incorporating Linguistic Knowledge on Filled Pauses for Personalized Spontaneous Speech SynthesisCode0
Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS)—0
Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE—0
Dictionary Attacks on Speaker VerificationCode0
Self-supervised learning for robust voice cloning—0
Improve few-shot voice cloning using multi-modal learning—0
Zero-Shot Long-Form Voice Cloning with Dynamic Convolution Attention—0
V2C: Visual Voice Cloning—0
Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning—0
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and MachinesCode0
Revisiting IPA-based Cross-lingual Text-to-speech—0
Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data—0
Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech—0
Adapting TTS models For New Speakers using Transfer Learning—0
Discovery of Single Independent Latent VariableCode0
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation—0
AI based Presentation Creator With Customized Audio Content Delivery—0
Preliminary study on using vector quantization latent spaces for TTS/VC systems with consistent performance—0
The AS-NU System for the M2VoC Challenge—0
The Multi-speaker Multi-style Voice Cloning Challenge 2021—0
CUHK-EE Voice Cloning System for ICASSP 2021 M2VoC Challenge—0
Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-SpeechCode0
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