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Marco Tagliasacchi β most-cited papers & profile Β· Generative Models
β authors
Β·
overview
Marco Tagliasacchi
9
papers Β·
53
citations Β·
41
h-index
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
SpectroStream: A Versatile Neural Codec for General Audio
2025 Β· 6 citations
SPICE: Self-supervised Pitch Estimation
2019
Towards Learning a Universal Non-Semantic Representation of Speech
2020
SEANet: A Multi-modal Speech Enhancement Network
2020
One-shot conditional audio filtering of arbitrary sounds
2020
SoundStream: An End-to-End Neural Audio Codec
2021
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
2024
Topics
Audio Understanding
Speech Enhancement
math.IT
Speech Recognition
Multimodal Audio
Text-to-Speech
Audio Generation
Model Architecture
Efficiency
Evaluation