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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 11–20 of 112 papers

TitleStatusHype
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder—0
Voice Cloning: Comprehensive Survey—0
ClonEval: An Open Voice Cloning BenchmarkCode0
"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services—0
Empowering Global Voices: A Data-Efficient, Phoneme-Tone Adaptive Approach to High-Fidelity Speech Synthesis—0
SpeechDialogueFactory: Generating High-Quality Speech Dialogue Data to Accelerate Your Speech-LLM DevelopmentCode0
SoK: How Robust is Audio Watermarking in Generative AI models?—0
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech TokensCode11
Voice Cloning for Dysarthric Speech Synthesis: Addressing Data Scarcity in Speech-Language Pathology—0
Steganography Beyond Space-Time with Chain of Multimodal AI—0
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